You are using an outdated browser. Please upgrade your browser or activate Google Chrome Frame to improve your experience.
13 Speeches in English for Listening and Speaking Practice
Giving a speech in front of a whole room of people can be pretty scary. Especially if you are giving a speech in English as a non-native speaker.
But you can learn from the best.
You can watch videos of famous, effective speeches in English to learn how to do it the right way .
In this post we will share 13 amazing speeches in English that you can use to become a more confident speaker yourself.
1. Speech on Kindness by a 10-year-old Girl
2. “the effects of lying” by georgia haukom, 3. “education for all” by cameron allen, 4. gender equality speech by emma watson, 5. “rocky balboa speech” by sylvester stallone, 6. 2008 presidential acceptance speech by president barack obama, 7. “this is water” speech by david foster wallace, 8. “the great dictator speech” by charlie chaplin, 9. 2018 golden globe speech by oprah winfrey, 10. “i have a dream” speech by martin luther king jr., 11. “the gettysburg address” by abraham lincoln, 12. “britain does owe reparations” by shashi tharoor, 13. mark antony’s speech by william shakespeare, and one more thing....
Download: This blog post is available as a convenient and portable PDF that you can take anywhere. Click here to get a copy. (Download)
Level: Beginner
Do you think people should be kind to one another? This speaker sure does. And she knows how to convince you of the same.
This is a perfect informative speech for beginner English learners . The speaker is a child who is able to speak fluently but with simple words . She also uses her gestures and facial expressions to communicate her emotions with the audience.
This speech is perfect for listening practice . However, learners should be aware that her pauses are not perfect. Learners should focus more on her words and the content of the speech than her intonation or pacing while practicing.
- Thousands of learner friendly videos (especially beginners)
- Handpicked, organized, and annotated by FluentU's experts
- Integrated into courses for beginners
Even though the speaker is a student in the fourth grade, her speech is one of the most interactive speeches I have seen. She starts with a game and is able to make her main point through the game itself.
English learners will enjoy her speech especially because the vocabulary she uses is simple and can be easily learned. But it does not feel like a beginner wrote this speech because she uses her words so well.
If you want to learn the art of making basic arguments while speaking, you should watch this speech. She is able to convince her audience because she is able to connect with them through games and stories.
She also uses scientific studies to back up (support) her main points.
Level: Intermediate
- Interactive subtitles: click any word to see detailed examples and explanations
- Slow down or loop the tricky parts
- Show or hide subtitles
- Review words with our powerful learning engine
This is a short and simple speech about why everyone in the world should get an education. Because the speaker is a child, the speech does not have complex words or sentence structures.
This is also a classic example of an informative speech. The speaker presents the main argument and the facts simply and clearly . She also gives the basic definitions of important terms in the speech itself.
This speech is perfect for English listening and speaking practice because it is so short but also full of useful information. It is also a good example of the standard American English accent .
Emma Watson is a famous English actress who is best known for her role in the “Harry Potter” movie series as Hermione. She is also a United Nations Women Goodwill Ambassador .
In this speech, she is trying to both inform and convince the audience of why men should support feminism. Feminism is a movement that asks for equal rights and opportunities for women.
She mixes her formal tone with personal stories to do this. The speech is also a good example of British English .
- Learn words in the context of sentences
- Swipe left or right to see more examples from other videos
- Go beyond just a superficial understanding
This is a speech taken from the movie “Rocky Balboa.” In this scene, Rocky, played by Sylvester Stallone, is talking to his son.
His speech is a classic example of a motivational speech . In these kinds of speeches, a person tries to inspire someone else, especially when the listener feels hopeless or is full of shame.
The basic message of the speech is that no matter how strong a person is, he or she will always face difficulties. And even though the message does not sound positive, Stallone’s way of speaking still makes it inspiring.
Stallone is able to communicate his message with love, even though he is criticizing his son and telling him difficult facts about the world. Generally, this is called “tough love” in English.
Listeners should also notice how he uses gestures to make his point .
Compare this speech with the Oprah Winfrey and Martin Luther King speeches (later in this list). All of them inspire their audiences but have really different tones. Stallone’s speech is the most informal and personal while Martin Luther King’s speech is the most formal and written for a large audience. All these speeches are in American English.
- FluentU builds you up, so you can build sentences on your own
- Start with multiple-choice questions and advance through sentence building to producing your own output
- Go from understanding to speaking in a natural progression.
Barack Obama was the first African American elected as president by U.S. citizens. He gave this speech after he won the election.
English learners can discover a lot from his speech. Obama talks about the most important issues Americans were facing back then and are still important to them. He also uses a kind of American English that is easy to understand . His speech is mainly about the values that he and Americans stand for.
Obama’s accent is a mixture of standard American English and the way of speaking commonly popular in African American communities. He is an expert in using pauses so that the audience can follow his words without breaking his rhythm.
As the speech is longer than most others on this list, you may want to listen to it in parts rather than beginning-to-end.
Level: Advanced
- Images, examples, video examples, and tips
- Covering all the tricky edge cases, eg.: phrases, idioms, collocations, and separable verbs
- No reliance on volunteers or open source dictionaries
- 100,000+ hours spent by FluentU's team to create and maintain
This speech is a perfect example of the mixture of casual and formal English . David Foster Wallace was an award-winning American writer who wrote about the culture of the U.S.
In this speech, he talks about the value of an education in liberal arts (general academic subjects, as opposed to technical/professional training). He believes that this kind of education teaches you how to think and think about others.
This is a good example of American English. Be aware that in some parts of the speech he also uses swear words (rude/offensive words) to create an emotional impact on the audience. This is very close to how people generally communicate with one another in daily life.
So, this speech is better for learning casual English even though it is a speech given at a university.
Level: Intermediate to Advanced
Charlie Chaplin is generally known for his gestures and facial expressions. In this movie, he proves that he can use speech as well to inspire and entertain the viewers.
The movie “The Great Dictator” is a satire about the rise of authoritarian governments in Europe. The word “authoritarian” means a person or a government that believes in controlling others and does not believe in freedom.
In this speech, Charlie Chaplin copies Adolf Hitler , but his message is exactly the opposite of Hitler’s ideas.
The interesting thing about the speech is how Chaplin uses short sentences for the most impact . There is also a lot of repetition that makes it easy for the audience to follow the speech.
Chaplin uses the tone, rhythm and pitch of his voice to make the speech interesting instead of using varied words. Chaplin’s speech can be categorized as inspirational or motivational. It does not use formal words but neither is it casual or informal.
Oprah Winfrey is an American talk show host and actor who is known around the world for her interviews. In the 2018 Golden Globe Awards, she was awarded the Cecil B. deMille award .
Her speech at the award show is about many different topics related to American society. She is the first African American woman to be awarded the prize . She talks about how watching an African American celebrity get another big entertainment award many years ago changed her life.
She also talks about sexual assault and the search for justice in American society. The MeToo movement is the main subject of the speech.
Even though the speech is in formal English , Oprah is able to make it emotional and personal .
Learners should focus on how she uses chunking in her sentences . Chunking is the technique of grouping words (called chunks) in a sentence with a slight pause between every chunk. It also helps with intonation and the rhythm of speaking.
This is one of the most well-known speeches of the last century . Martin Luther King Jr. was a leader of the civil rights movement in the U.S. The movement demanded that people of different races should be treated equally. This speech summarized the main vision of the movement using metaphors and repetition .
The speech begins by referring to the “Emancipation Proclamation.” The proclamation (official announcement) was an order by President Abraham Lincoln in 1863 that freed many slaves in the U.S. Martin Luther King talks about this because most of the slaves were African Americans and it was their first step towards freedom.
Advanced learners can learn about the history and cultural conflicts of America through this speech. It is also a perfect example of the use of formal English to convince other people .
Some of the words used in this speech are no longer common in American English. “Negro” is often regarded as an insult and learners should use words like “African American” instead.
This speech, delivered by the 16th president of the U.S. (Abraham Lincoln, whom we just discussed above) is considered to be one of the best speeches in English .
Lincoln delivered this in Gettysburg, Pennsylvania where many soldiers had died fighting a civil war. It was fought between Americans who wanted to ban slavery and people who did not. Lincoln was there to dedicate a graveyard to the soldiers.
In this speech, Lincoln reminds the people why this was an important war. He mentions that the U.S. was created on the values of liberty and equality. And this civil war was a test of whether a nation based on these values can last for long or not.
He honors the soldiers by saying that they have already “consecrated” the land for the people of America. (“To consecrate” means to make something sacred or holy.) He reminds the audience that they have to make sure that the idea of America as a nation of freedom continues so that the efforts of these soldiers are not wasted.
This is a very short speech . Learners can easily listen to it multiple times in a practice session. But only advanced learners can understand it since it has several difficult words in it. For instance, “score” is an outdated term used for the number 20. And when he mentions the word “fathers” in the first line he is actually referring to the leaders who had founded the country of America.
Even though Shashi Tharoor is not a native English speaker, his English is so fluent that he sounds like one. Learners from India will instantly recognize him because he is famous there for his English skills.
In this video, he is giving a speech as a part of a debate at Oxford University . He lists out arguments that support the idea that the U.K. should give reparations to its colonies. “Reparations” are payments to a country or community for some harm done to them. A colony is a region or a country that is controlled by another country by force.
Britain had a large number of colonies throughout the world between the 16th and 20th centuries. In this speech, Tharoor tries to convince his audience that the U.K. should give something for the damage they did to the countries they had colonized.
This is one of the finest examples of a formal speech in today’s English . Learners who want to go into academics can learn how to organize their arguments with evidence.
The speech is also great for vocabulary practice . Plus, Tharoor has deep knowledge of both the national history of the U.K. and the colonial history of India. Apart from the content of the speech, his way of speaking is also impressive and is similar to formal British English .
This speech is part of a play called “Julius Caesar” written by William Shakespeare. The play is based on the life and murder of Caesar who was a leader of the Roman Empire. The speech is considered to be one of the finest pieces of English literature .
It is also one of the best examples of the use of rhetoric (the art of speaking and persuasion).
Mark Antony makes this speech after Caesar is killed by other leaders of the Roman Empire. Antony was a close friend of Caesar’s and here he tries to remind the people of Rome that Caesar was actually a good man. He has to convince the people that his murderers like Brutus are actually criminals. But he has to do so without directly blaming the murderers.
Advanced learners should know this speech mainly because of its cultural value.
Many words in this speech have been replaced by other words in today’s English. “Hath” is the older form of “has” or “had.” “Thou” has also been replaced by the word “you.”
So rather than memorizing the vocabulary, learners should focus on how Damian Lewis delivers the speech instead. The intonation, tone, pitch and rhythm is similar to the formal English used today. He is also good at conveying emotions through pauses and expressions.
If you keep watching videos of native speakers talking, you’ll get used to hearing how different people talk in English. After watching these speeches, you could look for more speeches or interviews on YouTube.
FluentU takes authentic videos—like music videos, movie trailers, news and inspiring talks—and turns them into personalized language learning lessons.
You can try FluentU for free for 2 weeks. Check out the website or download the iOS app or Android app.
P.S. Click here to take advantage of our current sale! (Expires at the end of this month.)
Try FluentU for FREE!
The best way to learn the art of speaking is to first copy great speakers. Try to speak the same words in a style that is natural and comfortable to you. These speeches in English are the perfect material to master it!
If you like learning English through movies and online media, you should also check out FluentU. FluentU lets you learn English from popular talk shows, catchy music videos and funny commercials , as you can see here:
If you want to watch it, the FluentU app has probably got it.
The FluentU app and website makes it really easy to watch English videos. There are captions that are interactive. That means you can tap on any word to see an image, definition, and useful examples.
FluentU lets you learn engaging content with world famous celebrities.
For example, when you tap on the word "searching," you see this:
FluentU lets you tap to look up any word.
Learn all the vocabulary in any video with quizzes. Swipe left or right to see more examples for the word you’re learning.
FluentU helps you learn fast with useful questions and multiple examples. Learn more.
The best part? FluentU remembers the vocabulary that you’re learning. It gives you extra practice with difficult words—and reminds you when it’s time to review what you’ve learned. You have a truly personalized experience.
Start using the FluentU website on your computer or tablet or, better yet, download the FluentU app from the iTunes or Google Play store. Click here to take advantage of our current sale! (Expires at the end of this month.)
Enter your e-mail address to get your free PDF!
We hate SPAM and promise to keep your email address safe
- Page Content
- Sidebar Content
- Main Navigation
- Quick links
- All TIP Sheets
The Eight Parts of Speech
- Prepositions
- Conjunctions
- Interjections
- Basic Sentence Structure
- Sentence Fragments
- Run-on Sentences and Comma Splices
- Sentence Type and Purpose
- Independent and Dependent Clauses: Coordination and Subordination
- Subject Verb Agreement
- Consistent Verb Tense
- Other Phrases: Verbal, Appositive, Absolute
- Pronoun Reference
- Relative Pronouns: Restrictive and Nonrestrictive Clauses
- Avoiding Modifier Problems
- Transitions
- Would, Should, Could
- Achieving Parallelism
- Definite and Indefinite Articles
- Two-Word Verbs
TIP Sheet THE EIGHT PARTS OF SPEECH
There are eight parts of speech in the English language: noun, pronoun, verb, adjective, adverb, preposition, conjunction, and interjection. The part of speech indicates how the word functions in meaning as well as grammatically within the sentence. An individual word can function as more than one part of speech when used in different circumstances. Understanding parts of speech is essential for determining the correct definition of a word when using the dictionary.
1. NOUN
- A noun is the name of a person, place, thing, or idea.
man... Butte College... house... happiness
A noun is a word for a person, place, thing, or idea. Nouns are often used with an article ( the , a , an ), but not always. Proper nouns always start with a capital letter; common nouns do not. Nouns can be singular or plural, concrete or abstract. Nouns show possession by adding 's . Nouns can function in different roles within a sentence; for example, a noun can be a subject, direct object, indirect object, subject complement, or object of a preposition.
The young girl brought me a very long letter from the teacher , and then she quickly disappeared. Oh my!
See the TIP Sheet on "Nouns" for further information.
2. PRONOUN
- A pronoun is a word used in place of a noun.
She... we... they... it
A pronoun is a word used in place of a noun. A pronoun is usually substituted for a specific noun, which is called its antecedent. In the sentence above, the antecedent for the pronoun she is the girl. Pronouns are further defined by type: personal pronouns refer to specific persons or things; possessive pronouns indicate ownership; reflexive pronouns are used to emphasize another noun or pronoun; relative pronouns introduce a subordinate clause; and demonstrative pronouns identify, point to, or refer to nouns.
The young girl brought me a very long letter from the teacher, and then she quickly disappeared. Oh my!
See the TIP Sheet on "Pronouns" for further information.
3. VERB
- A verb expresses action or being.
jump... is... write... become
The verb in a sentence expresses action or being. There is a main verb and sometimes one or more helping verbs. (" She can sing." Sing is the main verb; can is the helping verb.) A verb must agree with its subject in number (both are singular or both are plural). Verbs also take different forms to express tense.
The young girl brought me a very long letter from the teacher, and then she quickly disappeared . Oh my!
See the TIP Sheet on "Verbs" for more information.
4. ADJECTIVE
- An adjective modifies or describes a noun or pronoun.
pretty... old... blue... smart
An adjective is a word used to modify or describe a noun or a pronoun. It usually answers the question of which one, what kind, or how many. (Articles [a, an, the] are usually classified as adjectives.)
See the TIP Sheet on "Adjectives" for more information.
5. ADVERB
- An adverb modifies or describes a verb, an adjective, or another adverb.
gently... extremely... carefully... well
An adverb describes or modifies a verb, an adjective, or another adverb, but never a noun. It usually answers the questions of when, where, how, why, under what conditions, or to what degree. Adverbs often end in -ly.
See the TIP Sheet on "Adverbs" for more information.
6. PREPOSITION
- A preposition is a word placed before a noun or pronoun to form a phrase modifying another word in the sentence.
by... with.... about... until
(by the tree, with our friends, about the book, until tomorrow)
A preposition is a word placed before a noun or pronoun to form a phrase modifying another word in the sentence. Therefore a preposition is always part of a prepositional phrase. The prepositional phrase almost always functions as an adjective or as an adverb. The following list includes the most common prepositions:
See the TIP Sheet on "Prepositions" for more information.
7. CONJUNCTION
- A conjunction joins words, phrases, or clauses.
and... but... or... while... because
A conjunction joins words, phrases, or clauses, and indicates the relationship between the elements joined. Coordinating conjunctions connect grammatically equal elements: and, but, or, nor, for, so, yet. Subordinating conjunctions connect clauses that are not equal: because, although, while, since, etc. There are other types of conjunctions as well.
The young girl brought me a very long letter from the teacher, and then she quickly disappeared. Oh my!
See the TIP Sheet on "Conjunctions" for more information.
8. INTERJECTION
- An interjection is a word used to express emotion.
Oh!... Wow!... Oops!
An interjection is a word used to express emotion. It is often followed by an exclamation point.
The young girl brought me a very long letter from the teacher, and then she quickly disappeared. Oh my !
See the TIP Sheet on "Interjections" for more information.
Home | Calendars | Library | Bookstore | Directory | Apply Now | Search for Classes | Register | Online Classes | MyBC Portal MyBC -->
Butte College | 3536 Butte Campus Drive, Oroville CA 95965 | General Information (530) 895-2511
- 5 Famous Speeches To Help you Learn English
- Posted on 16/06/2021
- Categories: Blog
- Tags: Famous Speeches , Listening , Listening Comprehension , Resources to learn English , Speaking
Everyone likes listening to inspiring speeches. Gifted speakers have a way of making people want to listen and take action to change their lives.
But speeches aren’t just interesting because of their content. They are also great tools to help you improve your English.
Listening to a speech and taking notes can help you develop your comprehension skills. Repeating the words of the speaker allows you to improve your pronunciation. And writing a summary can help you practise your spelling and grammar.
To help you get started, we’ve found 5 famous speeches to help you learn English.
1. Steve Jobs: Stanford Commencement Speech
Steve Jobs was no doubt a great speaker. Millions around the globe were enchanted by the presentations that he gave for Apple as the company’s CEO.
However, he wasn’t just known for speeches related to product launches , like the iconic 2007 speech where he introduced the iPhone . He’s also known for inspirational speeches, like the one he gave in 2005 at a Stanford Commencement ceremony.
In this speech, he addresses the graduating students of Stanford University. He starts by saying that he never actually graduated from college. This makes for an honest and heart-warming speech . For nearly 15 minutes, he talks about his life, telling stories that are funny, relatable, and emotional. He also offers tips for students to apply to their own lives.
Why is it good for learning English?
Jobs uses simple language and speaks in short sentences. He clearly pronounces every word so it’s easy to understand and mimic. Also, this video comes with big subtitles that make the speech even easier to follow.
2. Greta Thunberg: 2019 UN Climate Action Summit Speech
At just 18 years old, Swedish climate activist Greta Thunberg is one of the most well-known speakers of our time. Some of her speeches have even gone viral on social media. And her powerful words have been repeated thousands of times on climate strike placards around the world.
In one of her most moving speeches, Greta Thunberg addresses world leaders at the 2019 UN Climate Action Summit in New York. She challenges them for not taking action to fight global warming and ensure a future for the younger generations.
“How dare you? You have stolen my dreams and my childhood with your empty words,” she says.
Greta’s speech is a lesson in how to express yourself on a variety of environmental issues like climate change. It’s full of lots of useful vocabulary. Plus, the subtitles will help you to understand any complicated language!
3. Will Smith: Speech About Self Discipline
You probably know Will Smith as an actor. He’s played a wide variety of characters – from a police officer in Men in Black to a single father in The Pursuit of Happyness . But did you know that he’s also a great motivational speaker?
A few years ago, a video featuring Will Smith talking about the secret to success went viral on YouTube. In it, he talks about mastering self-discipline as a way to achieve your dreams.
“You cannot win the war against the world if you can’t win the war against your own mind,” he says.
As an actor, Will Smith has a clear and compelling voice, which is easy to follow. Some parts of this talk also sound improvised so it’s great for practising natural speech. It’s also excellent listening practice for understanding an American accent. And there’s lots of slang which you’ll have to guess from the context.
4. Emma Watson: Gender Equality Speech
You may associate Emma Watson’s name with Hermione Granger, the quirky and smart witch from the Harry Potter movies. When she’s not chasing evil wizards, Emma Watson campaigns for real-world issues such as gender equality.
In one of her most famous speeches, which she gave at a special event for the UN’s HeForShe campaign, Emma Watson talks about feminism and fighting for women’s rights. In particular, she explains why neither of these should be confused with ‘man-hating’.
While the actress’s voice is pleasant and calming, the issues she talks about are thought-provoking and will leave you thinking long after this short, 4-minute speech.
This talk is great for helping you get used to a southern English accent. It can also give you some essential vocabulary about a relevant topic. Look out for uses of the passive voice in her speech, and write down those sentences to practise this grammar structure.
5. Benjamin Zander: The Transformative Power of Classical Music
Benjamin Zander is the musical director of the Boston Philharmonic Orchestra. He is also a well-known motivational speaker who loves to share his love for music.
In his 2008 TED talk, he found an engaging way to talk about classical music to people who know nothing about it. As you can see in the video below, he switches between speaking and playing the piano. And, he isn’t afraid to tell a joke or two.
This speech is a bit more of a challenge than the ones described above. Benjamin Zander speaks fast and in a conversational style, using many examples and short stories to tell his tale .
However, the pauses he takes to play the piano give you time to take some notes. Write down any unfamiliar words you heard him say so you can look them up later. If you’re having trouble understanding him, you can always turn on the subtitles.
Glossary for Language Learners
Find the following words in the article and then write down any new ones you didn’t know.
Gifted (adj): talented.
To enchant (v): to captivate.
Launch (n): a product release.
Heart-warming (adj): emotional.
To go viral (v): something spreads quickly on the internet.
Placards (n): cardboard signs.
Moving (adj): emotional.
Compelling (adj): captivating.
Quirky (adj): interesting and different.
Thought-provoking (adj): something interesting that makes you think a lot about the topic.
To switch (v): to change.
Tale (n): story.
To look something up (v): to search for a piece of information in a dictionary or online.
adj = adjective
Leave a Reply
Name (required)
Email (required)
How To Write A B2 First Formal Email/Letter
- By: oxfordadmin
- Posted on 01/06/2021
8 Resources To Help Beginner English Learners
- Posted on 23/06/2021
Related Post
10 Summer Idioms From Around T
Summer’s finally here so it’s time to relax and catch some rays. You can forget about studying and taking tests unti... Read More
In, On and At: Dealing with Tr
Does this situation sound familiar? You’re writing a message to a friend in English arranging to meet. As you start to... Read More
A Guide to English for Tech Pr
If you work in the tech industry, chances are you’re learning English to advance your career. After all, it’s the mo... Read More
What Is The Schwa Sound (And W
If you’ve never heard of the schwa before, you might think it’s an unusual piece of pronunciation. It’s actually t... Read More
A Guide to English Accents Aro
Countries can have extremely different English accents despite sharing the same language. Just take the word ‘water’... Read More
Passing Cambridge C2 Proficien
Many sections of the Cambridge Proficiency are multiple-choice, so Part 2 of the Reading and Use of English can seem cha... Read More
Exploring the Impact of AI in
Gone are the days of learning from phrasebooks and filling in worksheets for homework. Now students have access to a wid... Read More
Everything You Need To Know Ab
Although you learn plural nouns early on, they can be challenging. There are many rules and exceptions to remember plus ... Read More
The Importance of English For
No matter where you live, you’ve probably experienced record-breaking temperatures and severe weather. You may have se... Read More
Discovering Barcelona Through
We all know that Barcelona is a fantastic city to live in. You only need to spend the afternoon wandering around one of ... Read More
8 New Words To Improve Your Vo
The arrival of a new year presents an ideal opportunity to work on your language goals. Whether you’re preparing for a... Read More
Learning English through Chris
It’s beginning to look a lot like Christmas! If you resisted the urge to sing that line instead of saying it, then, we... Read More
24 Christmas Phrases for Joyfu
‘Tis the season to be jolly, and what better way to get ready for the festive period than by learning some typical Chr... Read More
3 Easy Ways To Use Music To Im
Are you ready to embark on your latest journey towards mastering the English language? We all know that music is there f... Read More
Grammar Guide – Understandin
Do you sometimes feel a bit lost when deciding which tense to use? Are you a little unsure of the differences between th... Read More
Halloween Humour: Jokes, Puns
We all need a break from time to time. Sometimes we’re up to our eyeballs in projects at work, and we just need a mome... Read More
English for Business: 7 Ways L
If you’re interested in getting a promotion at work, earning a higher salary or landing your dream job, then working o... Read More
A Beginner’s Guide to Ch
Understanding the need for exams An official exam is a fantastic way to demonstrate your English. Why? Firstly,... Read More
English Tongue Twisters to Imp
One of the most fun ways to practise and improve your pronunciation is with tongue twisters. That’s because they’re ... Read More
25 years of Oxford House – O
We all know that fantastic feeling we have after completing an academic year: nine months of English classes, often twic... Read More
Guide to the Cambridge C2 Prof
Are you working towards the Cambridge C2 Proficiency (CPE) exam? Have you been having sleepless nights thinking about wh... Read More
9 Tips For Communicating With
When travelling to or living in an English-speaking country, getting to know the local people can greatly enhance your e... Read More
Are you preparing for the Cambridge C2 Proficiency (CPE) writing exam? If those pre-exam jitters have started to appear,... Read More
English Vocabulary For Getting
Are you feeling bored of the way your hair looks? Perhaps it’s time for a new you. All you need to do is make an appoi... Read More
5 Spelling Rules For Comparati
Messi or Ronaldo? Pizza or sushi? Going to the cinema or bingeing on a series at home? A beach holiday or a walking trip... Read More
Are you preparing for the Cambridge C2 Proficiency (CPE) writing exam? If so, you may be feeling a little nervous and co... Read More
Improve your English pronuncia
What are some of the trickiest words to pronounce in English? Well, we’ve compiled a useful list of ten of the most di... Read More
Using Language Reactor To Lear
If you love watching Netflix series and videos on YouTube to learn English, then you need to download the Language React... Read More
Are you preparing for the Cambridge C2 Proficiency (CPE) exam? Would you like to know some tips to help you feel more at... Read More
How to use ChatGPT to practise
Are you on the lookout for an extra way to practise your English? Do you wish you had an expert available at 2 a.m. that... Read More
Well done. You’ve been moving along your English language journey for some time now. You remember the days of telling ... Read More
Tips for the IELTS listening s
Are you preparing for the IELTS exam and need some help with the listening section? If so, then you’ll know that the l... Read More
7 new English words to improve
A new year is a perfect opportunity to focus on your language goals. Maybe you are working towards an official exam. Per... Read More
How to Write a C1 Advanced Ema
Did you know that there are two parts to the C1 Advanced Writing exam? Part 1 is always a mandatory . Part 2 has ... Read More
5 Interesting Christmas tradit
When you think of the word Christmas, what springs to mind? For most people, it will be words like home, family and trad... Read More
How to write a C1 Advanced Rep
Are you preparing for the Cambridge C1 Advanced exam and need a hand with writing your report/proposal for Part 2 of the... Read More
5 of the best apps to improve
Would you like to improve your English listening skills? With all the technology that we have at our fingertips nowadays... Read More
Tips for the IELTS Reading sec
Looking for some tips to get a high band score in the IELTS Academic Reading exam? If so, then you’re in the right pla... Read More
The 5 best Halloween movies to
Boo! Are you a fan of Halloween? It’s that scary time of year again when the creepy creatures come out to play, and th... Read More
How to Write a Review for Camb
Are you planning to take the Cambridge C1 Advanced (CAE) exam? If so, you will need to complete two pieces of writin... Read More
How To Use Relative Pronouns i
Today we’re taking a look at some English grammar that sometimes trips up language learners. In fact, we’ve just use... Read More
How To Get Top Marks: Cambridg
So you’re taking the ? If so, you’ll know that you have four sections to prepare for: speaking, reading and use of E... Read More
Travel Vocabulary To Get Your
Summer is here and we can’t wait to go on our summer holidays! If you’re thinking about travelling overseas this yea... Read More
How To Get A High Score In The
So you’re preparing for the ! From wanting to live and work abroad to going to university in an English-speaking count... Read More
10 English Idioms To Take To T
Is there anything better than cooling off in the sea on a hot summer’s day? Well, if you live in Barcelona you hav... Read More
Tips for IELTS speaking sectio
Are you preparing for the IELTS test? If so, you’ll need to do the speaking section. While many people find speaking t... Read More
How to use 6 different English
Just when you think English couldn’t get any more confusing, we introduce you to English pronouns! The reason why peop... Read More
How to get top marks: B2 First
Congratulations – you’ve made it to the B2 First Reading and Use of English Part 7! Yet, before we get too excited, ... Read More
5 Of The Best Apps For Improvi
Speaking is often thought to be the hardest skill to master when learning English. What’s more, there are hundreds of ... Read More
Do you like putting together puzzles? If so, your problem solving skills can actually help you with B2 First Reading and... Read More
8 Vocabulary Mistakes Spanish
If you ask a Spanish speaker what they find difficult about English language learning, they may mention false friends an... Read More
How To Get Top Marks: B2 First
Picture this: You’re in your B2 First exam and you’ve finished the Use of English part. You can put it behind you fo... Read More
12 Business Phrasal Verbs to K
Want to improve your English for professional reasons? You’re in the right place. When working in English, it’s comm... Read More
How to use articles (a, an, th
Knowing what articles are and when to use them in English can be difficult for language learners to pick up. Especially ... Read More
Are you preparing for ? Reading and Use of English Part 4 may not be your cup of tea – in fact most students feel quit... Read More
Passing B2 First Part 3: Readi
Are you studying for the B2 First exam? You’re in the right place! In this series of blogs we want to show you al... Read More
8 new English words you need f
New words spring up each year! They often come from popular culture, social and political issues, and innovations in tec... Read More
7 of the Best Apps for Learnin
If you find yourself commuting often and spending a lot of time on the bus, you’ll most likely turn towards playing ga... Read More
The B2 First is one of the most popular English exams for students of English. It is a recognised qualification that can... Read More
4 Different Types Of Modal Ver
What are modal verbs? They are not quite the same as regular verbs such as play, walk and swim. Modal verbs are a type o... Read More
So you’ve decided to take the ! Formerly known as FCE or the First Certificate, this is by far most popular exam. Whe... Read More
Useful Expressions For Negotia
A lot of our global business is conducted in English. So, there’s a strong chance you may have to learn how to negotia... Read More
Passing C1 Advanced Part 8: Re
If you’re wondering how to do Part 8 of the Reading and Use of English paper, you’re in the right place! After s... Read More
The Difference Between IELTS G
You’ve probably heard of . It’s the world’s leading test for study, work and migration after all. And as the world... Read More
Passing C1 Advanced Part 7: Re
Welcome to Part 7 of the Reading and Use of English paper. This task is a bit like a jigsaw puzzle. One where you have ... Read More
The Benefits Of Learning Engli
Who said learning English was just for the young? You're never too old to learn something new. There are plenty of benef... Read More
So, you’re preparing to take the . You’ve been studying for each of the four sections; reading, writing, speaking an... Read More
6 Reels Accounts to Learn Engl
Are you looking for ways to learn English during the summer holidays? We’ve got you covered – Instagram Reels is a n... Read More
Passing Cambridge C1 Advanced
Well done you! You’ve made it to Part 6 of the Reading and Use of English exam. Not long to go now – just three mor... Read More
8 Resources To Help Beginner E
Learning a new language is hard, but fun. If you are learning English but need some help, our monthly course is what y... Read More
How To Write A B2 First Formal
Dear reader… We sincerely hope you enjoyed our previous blog posts about the Writing section of the B2 First. As promi... Read More
4 Conditionals In English And
Conditionals? Is that something you use after shampooing your hair? Not quite. You may have heard your English teacher t... Read More
After racing through the first four parts of the Cambridge English Reading and Use of English paper, you’ve managed t... Read More
7 Of The Best Apps For Learnin
There are roughly 170,000 words in use in the English language. Thankfully, most native English speakers only have a voc... Read More
How to write a B2 First inform
You're probably very familiar with sending emails (and sometimes letters) in your first language. But how about in Engli... Read More
How can I teach my kids Englis
Keep kids’ minds sharp over the Easter holidays with some entertaining, educational activities in English. There are l... Read More
How Roxana went from Beginner
Roxana Milanes is twenty five and from Cuba. She began English classes back in May 2019 at Oxford House, and since then ... Read More
4 Future Tenses In English And
“Your future is whatever you make it, so make it a good one.” - Doc Brown, Back to the future. Just like the and... Read More
10 Business Idioms For The Wor
Business idioms are used throughout the workplace. In meetings, conversations and even whilst making at the coffee mac... Read More
5 Tips For Reading The News In
We spend hours consuming the news. With one click of a button we have access to thousands of news stories all on our pho... Read More
How To Write a Report: Cambrid
Imagine the scene. It’s exam day. You’re nearly at the end of your . You’ve just finished writing Part 1 - , and n... Read More
8 English Words You Need For 2
Back in December 2019, we sat down and attempted to make a list of . No one could have predicted the year that was about... Read More
5 Christmas Movies On Netflix
Christmas movies are one of the best things about the holiday season. They’re fun, they get you in the mood for the ho... Read More
MigraCode: An Inspiring New Pa
Oxford House are extremely proud to announce our partnership with MigraCode - a Barcelona-based charity which trains ref... Read More
The Ultimate Guide To Video Co
The age of telecommunication is well and truly here. Most of our business meetings now take place via video conferencing... Read More
6 Pronunciation Mistakes Spani
One of the biggest challenges for Spanish speakers when learning English is pronunciation. Often it’s a struggle to pr... Read More
6 Ways You Can Learn English w
“Alexa, what exactly are you?” Alexa is a virtual AI assistant owned by Amazon. She is voice-activated - like Sir... Read More
Passing Cambridge C1 Advanced:
Okay, take a deep breath. We’re about to enter the danger zone of the Cambridge exam - Reading and Use of English Par... Read More
What’s new at Oxford House f
Welcome to the new school year! It’s great to have you back. We’d like to remind you that , and classes are all st... Read More
European Languages Day: Where
The 26th of September is . It’s a day to celebrate Europe’s rich linguistic diversity and show the importance of lan... Read More
Back To School: 9 Tips For Lan
It’s the start of a new academic term and new courses are about to begin. This is the perfect opportunity to set your ... Read More
How to Maximise Your Online Co
If there’s one good thing to come out of this year, it’s that learning a language has never been so easy or accessib... Read More
How To Learn English With TikT
Are you bored of Facebook? Tired of Instagram? Don’t feel part of the Twitter generation? Perhaps what you’re lookin... Read More
A Brief Guide To Different Bri
It’s a fact! The UK is obsessed with the way people talk. And with , it’s no surprise why. That’s right, accents a... Read More
Study English This Summer At O
Summer is here! And more than ever, we’re in need of a bit of sunshine. But with travel restrictions still in place, m... Read More
5 Reasons To Learn English Out
As Barcelona and the rest of Spain enters the ‘new normality’, it’s time to plan ahead for the summer. Kids and te... Read More
5 Free Online Resources For Ca
Are you preparing for a Cambridge English qualification? Have you devoured all of your past papers and need some extra e... Read More
6 Different Uses Of The Word �
The word ‘get’ is one of the most common and versatile verbs in English. It can be used in lots of different ways, a... Read More
What Are The 4 Present Tenses
There are three main verb tenses in English - , the present and the future - which each have various forms and uses. Tod... Read More
5 Of The Best Netflix Series T
On average, Netflix subscribers spend streaming their favourite content. With so many binge-worthy series out there, it... Read More
Continue Studying Online At Ox
Due to the ongoing emergency lockdown measures imposed by the Spanish Government . We don’t know when we will be a... Read More
Five Ways To celebrate Sant Jo
The feast of Sant Jordi is one of Barcelona’s most popular and enduring celebrations. Sant Jordi is the patron saint o... Read More
What’s It Like To Study Onli
Educational institutions all over the world have shut their doors. From nurseries to universities, business schools to l... Read More
6 Benefits of Learning English
Whatever your new year’s resolution was this year, it probably didn’t involve staying at home all day. For many of u... Read More
9 Tips For Studying A Language
With the recent outbreak of Covid-19, many of us may have to gather our books and study from home. Schools are clos... Read More
10 Ways To Learn English At Ho
Being stuck inside can make you feel like you’re going crazy. But why not use this time to your advantage, and work on... Read More
Important Information –
Dear students, Due to the recent emergency measures from the Government concerning COVID-19, Oxford House premises wi... Read More
7 Books You Should Read To Imp
Reading is one of the best ways to practice English. It’s fun, relaxing and helps you improve your comprehension skill... Read More
Your Guide To Moving To The US
So that’s it! It’s decided, you’re moving to the USA. It’s time to hike the soaring mountains, listen to country... Read More
How to write a C1 Advanced Ess
The is an excellent qualification to aim for if you’re thinking of studying or working abroad. It’s recognised by u... Read More
Small Talk For Business Englis
Like it or not, small talk is an important part of business. Whether it’s in a lift, at a conference, in a meeting roo... Read More
English Vocabulary For Going O
It’s time for that famous celebration of love and romance - Valentine’s Day! It is inspired by the sad story of Sain... Read More
IELTS: Writing Part 2 –
When it comes to exams, preparation is the key to success - and the IELTS Writing Paper Part 2 is no exception! It is wo... Read More
What this handout is about
This handout will help you create an effective speech by establishing the purpose of your speech and making it easily understandable. It will also help you to analyze your audience and keep the audience interested.
What’s different about a speech?
Writing for public speaking isn’t so different from other types of writing. You want to engage your audience’s attention, convey your ideas in a logical manner and use reliable evidence to support your point. But the conditions for public speaking favor some writing qualities over others. When you write a speech, your audience is made up of listeners. They have only one chance to comprehend the information as you read it, so your speech must be well-organized and easily understood. In addition, the content of the speech and your delivery must fit the audience.
What’s your purpose?
People have gathered to hear you speak on a specific issue, and they expect to get something out of it immediately. And you, the speaker, hope to have an immediate effect on your audience. The purpose of your speech is to get the response you want. Most speeches invite audiences to react in one of three ways: feeling, thinking, or acting. For example, eulogies encourage emotional response from the audience; college lectures stimulate listeners to think about a topic from a different perspective; protest speeches in the Pit recommend actions the audience can take.
As you establish your purpose, ask yourself these questions:
- What do you want the audience to learn or do?
- If you are making an argument, why do you want them to agree with you?
- If they already agree with you, why are you giving the speech?
- How can your audience benefit from what you have to say?
Audience analysis
If your purpose is to get a certain response from your audience, you must consider who they are (or who you’re pretending they are). If you can identify ways to connect with your listeners, you can make your speech interesting and useful.
As you think of ways to appeal to your audience, ask yourself:
- What do they have in common? Age? Interests? Ethnicity? Gender?
- Do they know as much about your topic as you, or will you be introducing them to new ideas?
- Why are these people listening to you? What are they looking for?
- What level of detail will be effective for them?
- What tone will be most effective in conveying your message?
- What might offend or alienate them?
For more help, see our handout on audience .
Creating an effective introduction
Get their attention, otherwise known as “the hook”.
Think about how you can relate to these listeners and get them to relate to you or your topic. Appealing to your audience on a personal level captures their attention and concern, increasing the chances of a successful speech. Speakers often begin with anecdotes to hook their audience’s attention. Other methods include presenting shocking statistics, asking direct questions of the audience, or enlisting audience participation.
Establish context and/or motive
Explain why your topic is important. Consider your purpose and how you came to speak to this audience. You may also want to connect the material to related or larger issues as well, especially those that may be important to your audience.
Get to the point
Tell your listeners your thesis right away and explain how you will support it. Don’t spend as much time developing your introductory paragraph and leading up to the thesis statement as you would in a research paper for a course. Moving from the intro into the body of the speech quickly will help keep your audience interested. You may be tempted to create suspense by keeping the audience guessing about your thesis until the end, then springing the implications of your discussion on them. But if you do so, they will most likely become bored or confused.
For more help, see our handout on introductions .
Making your speech easy to understand
Repeat crucial points and buzzwords.
Especially in longer speeches, it’s a good idea to keep reminding your audience of the main points you’ve made. For example, you could link an earlier main point or key term as you transition into or wrap up a new point. You could also address the relationship between earlier points and new points through discussion within a body paragraph. Using buzzwords or key terms throughout your paper is also a good idea. If your thesis says you’re going to expose unethical behavior of medical insurance companies, make sure the use of “ethics” recurs instead of switching to “immoral” or simply “wrong.” Repetition of key terms makes it easier for your audience to take in and connect information.
Incorporate previews and summaries into the speech
For example:
“I’m here today to talk to you about three issues that threaten our educational system: First, … Second, … Third,”
“I’ve talked to you today about such and such.”
These kinds of verbal cues permit the people in the audience to put together the pieces of your speech without thinking too hard, so they can spend more time paying attention to its content.
Use especially strong transitions
This will help your listeners see how new information relates to what they’ve heard so far. If you set up a counterargument in one paragraph so you can demolish it in the next, begin the demolition by saying something like,
“But this argument makes no sense when you consider that . . . .”
If you’re providing additional information to support your main point, you could say,
“Another fact that supports my main point is . . . .”
Helping your audience listen
Rely on shorter, simpler sentence structures.
Don’t get too complicated when you’re asking an audience to remember everything you say. Avoid using too many subordinate clauses, and place subjects and verbs close together.
Too complicated:
The product, which was invented in 1908 by Orville Z. McGillicuddy in Des Moines, Iowa, and which was on store shelves approximately one year later, still sells well.
Easier to understand:
Orville Z. McGillicuddy invented the product in 1908 and introduced it into stores shortly afterward. Almost a century later, the product still sells well.
Limit pronoun use
Listeners may have a hard time remembering or figuring out what “it,” “they,” or “this” refers to. Be specific by using a key noun instead of unclear pronouns.
Pronoun problem:
The U.S. government has failed to protect us from the scourge of so-called reality television, which exploits sex, violence, and petty conflict, and calls it human nature. This cannot continue.
Why the last sentence is unclear: “This” what? The government’s failure? Reality TV? Human nature?
More specific:
The U.S. government has failed to protect us from the scourge of so-called reality television, which exploits sex, violence, and petty conflict, and calls it human nature. This failure cannot continue.
Keeping audience interest
Incorporate the rhetorical strategies of ethos, pathos, and logos.
When arguing a point, using ethos, pathos, and logos can help convince your audience to believe you and make your argument stronger. Ethos refers to an appeal to your audience by establishing your authenticity and trustworthiness as a speaker. If you employ pathos, you appeal to your audience’s emotions. Using logos includes the support of hard facts, statistics, and logical argumentation. The most effective speeches usually present a combination these rhetorical strategies.
Use statistics and quotations sparingly
Include only the most striking factual material to support your perspective, things that would likely stick in the listeners’ minds long after you’ve finished speaking. Otherwise, you run the risk of overwhelming your listeners with too much information.
Watch your tone
Be careful not to talk over the heads of your audience. On the other hand, don’t be condescending either. And as for grabbing their attention, yelling, cursing, using inappropriate humor, or brandishing a potentially offensive prop (say, autopsy photos) will only make the audience tune you out.
Creating an effective conclusion
Restate your main points, but don’t repeat them.
“I asked earlier why we should care about the rain forest. Now I hope it’s clear that . . .” “Remember how Mrs. Smith couldn’t afford her prescriptions? Under our plan, . . .”
Call to action
Speeches often close with an appeal to the audience to take action based on their new knowledge or understanding. If you do this, be sure the action you recommend is specific and realistic. For example, although your audience may not be able to affect foreign policy directly, they can vote or work for candidates whose foreign policy views they support. Relating the purpose of your speech to their lives not only creates a connection with your audience, but also reiterates the importance of your topic to them in particular or “the bigger picture.”
Practicing for effective presentation
Once you’ve completed a draft, read your speech to a friend or in front of a mirror. When you’ve finished reading, ask the following questions:
- Which pieces of information are clearest?
- Where did I connect with the audience?
- Where might listeners lose the thread of my argument or description?
- Where might listeners become bored?
- Where did I have trouble speaking clearly and/or emphatically?
- Did I stay within my time limit?
Other resources
- Toastmasters International is a nonprofit group that provides communication and leadership training.
- Allyn & Bacon Publishing’s Essence of Public Speaking Series is an extensive treatment of speech writing and delivery, including books on using humor, motivating your audience, word choice and presentation.
Works consulted
We consulted these works while writing this handout. This is not a comprehensive list of resources on the handout’s topic, and we encourage you to do your own research to find additional publications. Please do not use this list as a model for the format of your own reference list, as it may not match the citation style you are using. For guidance on formatting citations, please see the UNC Libraries citation tutorial . We revise these tips periodically and welcome feedback.
Boone, Louis E., David L. Kurtz, and Judy R. Block. 1997. Contemporary Business Communication . Upper Saddle River, NJ: Prentice Hall.
Ehrlich, Henry. 1994. Writing Effective Speeches . New York: Marlowe.
Lamb, Sandra E. 1998. How to Write It: A Complete Guide to Everything You’ll Ever Write . Berkeley: Ten Speed Press.
You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill
Make a Gift
- Speech Topics For Kids
- Speech On The Importance Of English
Speech on the Importance of English Language
The English language plays a very important role in our lives. As a result of globalisation and with the help of the English language, the entire world has now become familiar to all people. It is considered the principal language of communication by many nations, and everyone has accepted it as the global language. Do you want to know more about the topic? Read the article for cues and tips, and prepare a mesmerising speech on the importance of the English language – one of the interesting speech topics for kids .
Table of Contents
Sample speeches on the importance of the english language, speech about the importance of learning english.
- Importance of Learning English Speech
Frequently Asked Questions on the Importance of English Language
A couple of sample speeches are given below. Go through them, utilise the resources, and prepare a speech about the importance of the English language on your own.
Have you ever wondered about our condition if there was no common language like English to share our thoughts and feelings with one another? There are numerous languages in our world. Most countries have a national language, and there are multiple regional languages within a nation. The English language is a great boon in such situations; it serves as a common language and helps everyone to communicate.
The English language bridges the gap between nations and offers everyone the possibility of attaining wide exposure. The adoption of the English language as the principal source of communication has resulted in increasing international relationships in travel and tourism, education, business, entertainment, science, technology, and so on.
The English language helps individuals to transcend international boundaries and get a global reach. For example, a book written in English will get far better reach than a book written in any of the regional languages. A regional language has limitations; it cannot be understood by anyone who doesn’t know it; as a result, the audience will be minimal. A common language like English will eradicate this limitation and help everyone to connect with wider audiences. Similar is the condition for any content presented in English.
The worldwide reach of the English language is the main reason for setting English as the language of the internet. By knowing the English language, a person can easily access all the information on any topics that are available on the internet. English content like songs, movies, news, entertaining programmes, public events, and all can be enjoyed by everyone who knows the language. Like the words of Frank Smith, “One language sets you in a corridor for life. Two languages open every door along the way”. Let’s try to learn more languages and open every opportunity in our lives.
Speech on the Importance of Learning English
The English language was initially the national language of England. Later, as a result of British imperialism and colonisation, the language was introduced to many nations. Eventually, it became the primary and secondary language of their colonies, such as India, Australia, Sri Lanka, Canada etc. Gone are the times when the British ruled over more than half the world, but their language is still ruling almost half the entire world.
Today, nearly sixty-seven countries all over the world have declared English as their official language, and twenty-seven countries consider English as their secondary language. Without a second thought, we can declare the English language as one of the most dominant languages in the world.
The English language is the key to opening the door to the world. It is one of the most used languages in the world. The knowledge of the English language helps everyone to attain personal and professional growth. As a result, people all over the world have started to learn English as a second language. Many nations have included English as their second language in their school curriculums to assist students in learning English at a young age. Almost all the materials and subjects for learning are drafted in English to make it more accessible for everyone all around the world. The initiative of using the English language as a medium of instruction in schools and colleges brings a commonality to the structure of education and brings multiple positive impacts to the students.
Good communication skills in English is considered one of the most important soft skills required for an employee. Other than this benefit provided by the English language, it helps us understand different nations’ cultures. A piece of good knowledge in English guides us to travel to any new nation. With the support of good understanding and communication skills, a person can easily transfer ideas and thoughts to one another. An insight of the English language increases the chance of setting up a good career.
The impacts brought by the English language on our lives are boundless. Let’s realise the true potential of language and remember the words of Roger Bacon – “Knowledge of languages is the doorway to wisdom.”
How did English become a global language?
The English language is one of the most dominant languages in the world. The English language was initially the national language of England. Later, as a result of British imperialism and colonisation, the language got introduced to many nations. Eventually, it became the primary and secondary language of their colonies, such as India, Australia, Sri Lanka, Canada etc. Today, nearly sixty-seven countries all over the world have declared English as their official language, and twenty-seven countries consider English as their secondary language.
What is the importance of learning English?
The English language bridges the gap between nations and offers everyone the possibility of attaining wide exposure. The adoption of the English language as the principal source of communication has resulted in increasing international relationships in travel and tourism, education, business, entertainment, science, technology, and so on. The English language helps individuals to remove international boundaries and helps them to get a global reach.
List some advantages of the English language.
- English is considered the principal language of communication by many nations, and everyone has accepted it as the global language.
- The English language knowledge helps everyone attain personal and professional growth.
- A piece of good knowledge in English guides us to travel to any new nations.
- English helps every content creator to receive a wider audience.
- The English language helps us to enjoy content like songs, movies, news, entertaining programmes, public events and so on.
ENGLISH Related Links | |
Leave a Comment Cancel reply
Your Mobile number and Email id will not be published. Required fields are marked *
Request OTP on Voice Call
Post My Comment
Register with BYJU'S & Download Free PDFs
Register with byju's & watch live videos.
Understanding Parts of Speech (9 Types With Examples)
What are parts of speech? In the American English language, parts-of-speech is a category to which a word is assigned in accordance with its syntactic functions. They exist under the verb , noun, pronoun, interjection , adjective , conjunction, adverb, and preposition forms.
Learn more about parts of the speech in this comprehensive worksheet…
What are parts of speech?
“Parts of speech” refers to the essential words used in sentence formation in the English language.
Every word used in a sentence structure plays an important role in defining the sentence’s meaning. These words use and placement give proper intentions in sentence structures.
Parts of speech are the basic grammar lessons taught during the primary phases of learning English.
Any word used in sentence formation falls into one of these categories for proper sentence structure.
Some of those words can be a part of one or more parts of speech. This topic further explores the essential parts of speech used in the English language.
Watch this as a video lesson
In total, there are nine categories of parts of speech
These nine parts of speech are namely: Verbs, Nouns , Adjectives, Determiners, Adverbs , Pronouns, Prepositions , Conjunctions, and Interjections.
Another additional classification is used as a part of speech, i.e. , Articles, a subprogram of determiners.
To comprehend the meaning and use of each word in the English language, it is essential to clearly understand the various parts of speech and select the right parts of speech form at the appropriate place in the sentence.
What are the 9 parts of speech with their functions?
Here are the nine parts of speech and how they impact the English language.
Noun | name a place, person, thing, or idea. | California, man, park |
Pronoun | Used to replace the name of a person, place, thing or idea. | He, she, it, they |
Verb | A verb expresses what the does. | Leave, do, work put, |
Adverb | Used to describe verb, adverb, or adjective. | Always, silently, quickly |
Adjective | Words that are used to describe qualities or things. | Long, short, tiny, bright, dark |
Preposition | Shows the relationship between other words in a sentence. | In, on, at, with, |
Interjection | Words that express emotions or feelings. | Wow, oh, ah, yikes |
Conjunction | Words that join words or groups of words together. | And, but, , , also |
‘Verbs’ are the words used in a sentence to define the action/state of action being performed. Most of the sentences in sentence formation require the inclusion of verbs.
Some examples of verbs used in the English language are Love, Break, Fall , and Cry . These are the basic forms of verbs and are known as infinitives .
Most of the verbs used have two other major forms called participles . The use of these participles is for the formation of various verb-tense combinations.
These participles define the forms of verbs concerning the time of action/performance. These verb-tense combinations can be used in two types: Active voice and passive voice .
A ‘noun’ are words used in a sentence to give recognition or the name of an object, individual, or animal.
Nouns can be sub-classified into two major categories: Common nouns , which give generic descriptor names to things, and common items, such as a bat, a bicycle , etc. The other category of nouns is Proper nouns , which have specific descriptor names to refer to a specialized object, place, or individual, such as Charley, The Empire State Building, The Telegraph , etc.
Additionally, nouns can be classified as singular nouns and plural nouns based on the number of individuals/objects.
Singular Nouns
The definition of a Singular Noun is the same as that of a noun when used commonly. It carries the same definition as the noun: “A word referring towards an individual/object/event/material/place.”
Plural Nouns
The word plural relates to “more than one in certain languages or more than two in certain languages.”
Thus singular nouns can be converted to their plural noun format when there is an implication of more than one or two objects/individuals/places.
A general Singular/Common Noun can be turned into the appropriate form of a Plural Noun by adding a ‘s’/’es’/’ ies’/’ves.’ It is also initiated by changing ‘us’ to ‘i’, ‘is’ to ‘es’ , or ‘on’ to ‘a’ .
Some common nouns do not change when interchanged between their singular and plural noun forms. Some other common nouns do not fall under plural nouns and are called irregular nouns, which are made plural by changing the spelling or adding a suffix to the word.
‘Adjectives’ are words that give a description or modify the scope of nouns/pronouns by being specific. For example, adjectives used to define a noun can be red, small, hot, common, etc.
An adjective is usually placed before a noun or after the verb that it modifies. Three forms of adjectives are used to compare similar characteristics of different individuals/objects. These three degrees of comparison are:
- Positive/Absolute form
This comparison of adjectives defines the original form of the adjective as stated in English. For example, “this candy is tasty .” This degree of comparison states that no relative subject is available for comparison.
- Comparative form
This form of the adjective gives a relative comparison between two objects performing similar actions with identical characteristics. For example, “the candy we had today is tastier than the one we received yesterday.”
- Superlative form
This form of the adjective gives the superiority declaration of one object over similar objects possessing similar characteristics. For example, “this candy is the tastiest I have ever had in the last two years .”
Adjectives can be sub-classified based on their function in sentence formation. This sub-classification is:
- Possessive Adjectives
These adjectives show/represent the possessiveness of an object. For example, mine, my, his/her, their, its, etc.
- Interrogative Adjectives
These adjectives modify the noun/pronoun by interrogation. Only a select few adjectives are available in this form. For example, whose, which, what, and where.
- Demonstrative Adjectives
These adjectives describe the current state/position of the noun/pronoun concerning space/time. For example, this, these, those, that.
- Compound Adjectives
These adjectives are a result of the combination of two or more adjectives. The resulting adjective modifies the subject in the sentence. For example, hand-dried, heavy-weighted, spike-haired, etc.
‘Determiners’ are the words placed before a noun/pronoun group terms to refer to a single/multiple things. Some commonly used determiners in English are ‘a’, ‘the’, ‘some’, ‘any’, and ‘this.’ Determiners are generally placed before descriptive adjectives . It tells the reader more about the description of the noun being referred to.
Determiners are classified into sub-categories, articles, and demonstratives.
An ‘Article’ can be either definite or indefinite. An article modifies a noun/pronoun without specifying any description of the object. In English, an example of a ‘definite article’ is the , whereas examples of two ‘indefinite articles’ are a and an .
Here, the refers to specific things or things that are identified beforehand. A or a refer to non-specific things that have not been identified beforehand.
Demonstratives
A ‘Demonstrative’ is defined as a demonstrative adjective/pronoun based on its usage in the sentence. Some examples of demonstratives are ‘this’, ‘that’, and ‘those’ .
A determiner has the same rules of use as in the case of adjectives in sentence formation. Thus, confusion takes place when carefully choosing the type of parts of speech to assign when given a choice of either a determiner or adjective.
An ‘Adverb’ defines essential information about the verb, similar to what an adjective is to a noun. It provides a descriptor for a verb used in a sentence and some cases, can also describe an adjective or another adverb.
Some adverbs used in sentences with verbs are ‘slowly’, ‘hastily’, ‘unfortunately’, and ‘angrily’.
Adverbs are further sub-classified into various types based on their application in a sentence.
- Adverbs of Time (to inform about the occurrence of a verb), For example, ‘now’, ‘tomorrow’, and ‘soon’.
- Adverbs of Manner (to describe the action of a verb), For example, ‘hastily’, ‘slowly’, and ‘minutely’.
- Adverbs of Place (to indicate the place of action of the verb),
- Adverbs of Frequency (to describe the frequency of a verb action),
- Adverbs of Degree (to describe the intensity of an action),
- Conjunctive Adverbs (are used to link/act as a conjunction to two sentences).
A ‘Pronoun’ is a word used in specifically providing an alternate name for a non/noun phrase. They are alternate words for referring to an object/individual when the requirement of a noun is unnecessary, as the noun has been mentioned previously in some parts of the sentence.
Some examples of pronouns are ‘it’, ‘he/she’, and ‘himself/herself’.
Pronouns are sub-classified into different categories based on their use in the sentence.
Some of these sub-categories are:
- Relative Pronouns (to relate a part of a sentence with the other)
- Possessive Pronouns (to show possessiveness)
- Reflexive Pronouns (to refer back to the subject of discussion)
- Demonstrative Pronouns (to refer to specific objects/individuals)
- Interrogative Pronouns (to ask questions)
- Indefinite Pronouns (to avoid reference to any specific object/individual/place)
- Personal Pronouns (to use as substitutes for proper names)
- Subject Pronouns (to assign acting on an object)
- Object Pronouns (to assign receiving action towards an object)
- Reciprocal Pronouns (to express two-way/mutual relationship)
- Preposition
A ‘Preposition’ is a word used as a connective between a noun, a noun phrase, or a pronoun with another word.
Prepositions are used in sentence formations to convey these meanings:
- To show the direction towards/of something/someone
- To refer to the period of an action taking place
- To specify the location/position of an object
- To present the space and time relationship between objects
Based on their use and function, prepositions are classified into four subtypes:
- Prepositions of Time (to indicate the happening of an action/event)
- Preposition of Place (to indicate the location of an object)
- Preposition of Direction (to indicate the direction/orientation of an object)
- Prepositions of Spatial Relationship (to indicate an object moving away/towards a source)
- Conjunction
A ‘Conjunction’ is a word that combines two/more objects and behaves as connectives in a sentence. These can appear in the beginning/middle/end of the sentence following the location of the objects.
There are three types of conjunctions used in sentence formation:
- Coordinate conjunction (to combine two independent clauses )
- Subordinate conjunction (to combine an independent with a dependent clause)
- Correlation conjunction (to combine two phrases having equal weightage)
Interjection
An ‘Interjection’ is a word to convey the expression of a variety of emotions/feelings. As such, there is no specific rule for the use of interjection and where it is to be placed.
However, in most cases, it is placed at the beginning of the sentence. For example, some of the most commonly used interjections are ‘ouch’, ‘phew’, and ‘well’.
Noun | The howled. |
Pronoun | It woke the baby. |
Verb | The loving mother the child. |
Adjective | The father rocked the baby. |
Adverb | The dog howled |
Preposition | The baby cried a long time. |
Conjunction | The baby gazed at his mother father. |
Interjection | , the baby fell back asleep. |
Parts of speech examples
Here are some examples of the parts of speech used in sentences. Note the placement and its relation with other parts of speech present in the sentence format.
- John is cutting a pipe.
- John intends to come to the office this Monday .
- Jogging regularly is good for health.
- Drinking and driving put other motorists in danger.
- Would you want to wear a suit?
- I love to sing in between classes.
See another example in the image below.
- Juno ran towards the classroom.
- The janitor requested the students to clear their lockers.
- The monkey was caged after being sedated.
- I gifted my brother a phone .
- Why did you purchase the book ?
- I misplaced the manuscript .
- Do you want to eat some ice cream ?
- Mum loved my new car .
- Daniel gifted his brother a Porsche.
- I purchased a blue suit for the reception.
- Mary purchased two oranges from the fruit seller.
- The curry is tasty .
- Juno’s brother is arrogant .
- The documentary that premiered on television was fascinating .
- Giovanni Giorgio is a great music composer.
- My house is currently under lease.
- This novel is lengthy.
- I purchased some fruits and vegetables.
- She sent me an expensive watch.
- Velma loved the dress gifted by her parents.
- Joyce and Jill watched a movie together.
- Grandma gave us materials to prepare the dessert.
- Typically , we visit Mom on Mondays.
- Don’t you taste the coffee to be too bitter?
- Do not be nervous. You will eventually get the hang of it.
- The movie I watched was very scientific.
- It is scorching hot inside the workshop.
- Can I visit the office today ?
- His aunt will be staying at the apartment for a while .
- He is the man I was referring to.
- I found my missing luggage outside the airport.
- I won’t be coming to the office in the afternoon.
- He arranged the cutlery on the table.
- Bhaskar made the dog hide under its bed.
- I enjoy strolling by the lake in the mornings.
- James and I trekked to the hilltop today.
- I stayed back home because I felt uneasy.
- He did not enjoy the yogurt , yet he finished it.
- Interjection
- Hurray! We got the funding.
- Ouch! That wound looks severe.
- Wow! You look great in the wedding gown.
- Oh my God ! I hope he is safe.
See an example in the image below.
Words with more than one job
Many parts of speech can have more than one function/job in the sentence. This improves the versatility of the words being used and makes the use more situational in its placement and conveyance of meaning.
- Myers can shift for herself (Preposition)
- Give prayers to the Almighty; for He is the one above all (Conjunction)
- We require more women to have the same vigor. (Adjective)
- More of the women died in the operating room than in the cabin. (Pronoun)
- Agatha needs to shut the gossiping and work more (Adverb)
To see how all the objects work together, see the table below.
She | likes | big | but | I | hate | them |
Here is a chart showing the parts of speech:
How to identify parts of speech
In sentence formation, it often becomes difficult to ascertain the parts of speech represented by each word. To help out and to make the process of identification easier, follow these steps:
- Identify any word which names an object/individual/place in a generalized form as a noun .
- To identify a specific noun, use pronouns .
- Any words which describe/identify actions/performance are verbs .
- Any word that modifies or gives a greater definition to nouns is an adjective.
- Any word that modifies or gives meaning to the actions of verbs, are adverbs.
- It is easy to pick out prepositions as they describe relationships between a noun/pronoun with other nouns/pronouns.
- Any joiner used to join two clauses is a conjunction .
- Exclamations generally follow any interjections in the text.
- Parts of speech
More parts of speech:
- Conjunctions
- Prepositions
- Possessive nouns
- Irregular plural nouns
- Proper nouns
- Concrete nouns
- Collective nouns
- Possessive and plural nouns
- Verbs: The Definitive Guide
- Nouns | Explore Definition, Examples & Types with Examples
- What Are Pronouns? Definitions and Examples
- What Are Adverbs? (with Examples)
- Interjections – Explore Meaning, Definition, Usage and Examples
- What Is A Conjunction? Types & Examples
- The 9 Parts of Speech: Definitions and Examples
- What Is a Determiner?
- The 8 Parts of Speech: Examples and Rules
- Adverbs – What is It? Explore the Meaning, Definition, Types, Usage and Examples
Inside this article
Fact checked: Content is rigorously reviewed by a team of qualified and experienced fact checkers. Fact checkers review articles for factual accuracy, relevance, and timeliness. Learn more.
About the author
Dalia Y.: Dalia is an English Major and linguistics expert with an additional degree in Psychology. Dalia has featured articles on Forbes, Inc, Fast Company, Grammarly, and many more. She covers English, ESL, and all things grammar on GrammarBrain.
Core lessons
- Abstract Noun
- Accusative Case
- Active Sentence
- Alliteration
- Adjective Clause
- Adjective Phrase
- Adverbial Clause
- Appositive Phrase
- Body Paragraph
- Compound Adjective
- Complex Sentence
- Compound Words
- Compound Predicate
- Common Noun
- Comparative Adjective
- Comparative and Superlative
- Compound Noun
- Compound Subject
- Compound Sentence
- Copular Verb
- Collective Noun
- Colloquialism
- Conciseness
- Conditional
- Concrete Noun
- Conjugation
- Conditional Sentence
- Comma Splice
- Correlative Conjunction
- Coordinating Conjunction
- Coordinate Adjective
- Cumulative Adjective
- Dative Case
- Declarative Statement
- Direct Object Pronoun
- Direct Object
- Dangling Modifier
- Demonstrative Pronoun
- Demonstrative Adjective
- Direct Characterization
- Definite Article
- Doublespeak
- Equivocation Fallacy
- Future Perfect Progressive
- Future Simple
- Future Perfect Continuous
- Future Perfect
- First Conditional
- Gerund Phrase
- Genitive Case
- Helping Verb
- Irregular Adjective
- Irregular Verb
- Imperative Sentence
- Indefinite Article
- Intransitive Verb
- Introductory Phrase
- Indefinite Pronoun
- Indirect Characterization
- Interrogative Sentence
- Intensive Pronoun
- Inanimate Object
- Indefinite Tense
- Infinitive Phrase
- Intensifier
- Indicative Mood
- Juxtaposition
- Linking Verb
- Misplaced Modifier
- Nominative Case
- Noun Adjective
- Object Pronoun
- Object Complement
- Order of Adjectives
- Parallelism
- Prepositional Phrase
- Past Simple Tense
- Past Continuous Tense
- Past Perfect Tense
- Past Progressive Tense
- Present Simple Tense
- Present Perfect Tense
- Personal Pronoun
- Personification
- Persuasive Writing
- Parallel Structure
- Phrasal Verb
- Predicate Adjective
- Predicate Nominative
- Phonetic Language
- Plural Noun
- Punctuation
- Punctuation Marks
- Preposition of Place
- Parts of Speech
- Possessive Adjective
- Possessive Determiner
- Possessive Case
- Possessive Noun
- Proper Adjective
- Proper Noun
- Present Participle
- Quotation Marks
- Relative Pronoun
- Reflexive Pronoun
- Reciprocal Pronoun
- Subordinating Conjunction
- Simple Future Tense
- Stative Verb
- Subjunctive
- Subject Complement
- Subject of a Sentence
- Sentence Variety
- Second Conditional
- Superlative Adjective
- Slash Symbol
- Topic Sentence
- Types of Nouns
- Types of Sentences
- Uncountable Noun
- Vowels and Consonants
Popular lessons
Stay awhile. Your weekly dose of grammar and English fun.
The world's best online resource for learning English. Understand words, phrases, slang terms, and all other variations of the English language.
- Abbreviations
- Editorial Policy
Home » 8 Parts of Speech with Types, Definitions and their Examples
8 Parts of Speech with Types, Definitions and their Examples
Are you curious to Speak or Learn the English Language? well, Every word in the English language is referred to as a component of speech. The 8 parts of speech are Nouns , Pronouns, verbs, adverbs, prepositions, conjunctions, and interjections. we will go over the Common Eight parts of speech in this tutorial, along with their definitions, types, and Examples. This is the article on the different 8 parts of speech and Their examples and definitions as well as Example Sentences.
The 8 parts of speech are the regular grammar categories to which words are allocated based on their functions of syntax, such as nouns, verbs, adjectives, adverbs, and so on. Stated differently, they talk about the varied roles that words might play in a sentence and the connections that words have to one another as defined by syntax and grammar .
Every single English word can be classified into one of the eight components of speech. A word’s part of speech is the purpose it fulfills in a sentence. These jobs were also designed to work as a team, much like any workplace or ensemble cast television series.
Also Check:
- Kitchen Sentences in English
- Types of furniture items names
- Masculine and feminine Jenders
- Vegetables vocabulary words
- Kitchen vocabulary words
- Household items vocabulary words
Table of Contents
What Is a Part of Speech?
Before delving into the specifics, let’s clarify what we mean by a “Part of speech.” In English grammar, a part of speech is a category of main and a lot of words. These types of categories help us to understand how the words we use and Speak within the daily life Conversation.
8 Parts of Speech Are:
- Prepositions
- Conjunctions
- Interjections
Names of 8 Parts of speech
The 8 parts of speech:
Noun: the foundation of sentences.
- Types: Common, proper, abstract, concrete, and countable nouns. See more…
- Definition: A noun is a word that tells of a person, place, thing, or idea.
- Example: cat , London , happiness ,
- Nouns Example Sentences: She has an Adorable Cat . They are going to London. may god give you happiness.
Pronoun: Substitutes for Nouns
- Types: Personal pronouns, demonstrative pronouns, indefinite pronouns. See More…
- Definition: A pronoun is a word that represents a noun to avoid repetition.
- Example: he , she , it , they He is a good boy. she is studying. it is an amazing sight. they live in New York.
Verb: The Action Words
- Types: Action verbs, linking verbs, helping verbs. See More….
- Definition: in the English Language, A verb explains an action, occurrence, or state of being.
- Example: Runs, smell, Going, playing, He runs every morning. The flowers smell delicious. I am going with my Friends. they are Playing Football.
Adjective: Describing Words
- Types: Descriptive adjectives, limiting adjectives. See More…
- Definition: An adjective describes or modifies a noun or pronoun.
- Example: blue , tall , delicious today the sky is blue. He is a tall man. She makes delicious food.
Adverb: Modifiers of Verbs
- Types: Adverbs of manner, place, time, degree. See More…
- Definition: An adverb tells about the verb, adjective, or another adverb
- Example: quickly, beautifully, Loudly This boy runs quickly. She sings beautifully . He Speaks Loudly .
Preposition: Indicators of Position or Relationship
- Types: Simple prepositions, compound prepositions. See More…
- Definition: A preposition describes the relationship between its object and another word in the sentence.
- Example: on, in, at, across The book is on the table. I am in the car. He is at the bus stand. She walked across the bridge.
Conjunction: Joining Words
- Types: Coordinating conjunctions, subordinating conjunctions. See more…
- Definition: A conjunction connects words, phrases, or clauses.
- Examples: And, Because, that, She likes tea and coffee. He went to the store because he needed groceries. this is the pen, that writes very well.
Interjection: Expressions of Emotion
- Types: Expressive interjections, introductory interjections. See More….
- Definition: An interjection Describe strong emotions or sudden bursts of feelings.
- Example: wow! ouch! Ouwww! Wow! That was amazing! Ouch! That hurt. Ouwww! That’s amazing.
Eight parts of Speech and their Types, Definition and Examples
You may also like
Abstract Nouns List From A to Z – 500 Abstract...
Modal Verbs with Simple Definitions and Usage Examples
Zero Conditional Explained with Simple Rules...
Helping Verbs with Definition, Examples, Types, and...
Present Perfect Continuous Tense Examples Sentences
Mastering Adverbs of Frequency | Examples, Usage...
About the author.
mrmrsenglish.com
The Author is a Certified TEFL Trainer from Arizona State University having experience of 7 years in teaching English worldwide to the students with diverse culture. He is a passionate English language trainer by both profession and passion.
Leave a Comment X
Save my name, email, and website in this browser for the next time I comment.
The 9 Parts of Speech: Definitions and Examples
- Ph.D., Rhetoric and English, University of Georgia
- M.A., Modern English and American Literature, University of Leicester
- B.A., English, State University of New York
A part of speech is a term used in traditional grammar for one of the nine main categories into which words are classified according to their functions in sentences, such as nouns or verbs. Also known as word classes, these are the building blocks of grammar.
Every sentence you write or speak in English includes words that fall into some of the nine parts of speech. These include nouns, pronouns, verbs, adjectives, adverbs, prepositions, conjunctions, articles/determiners, and interjections. (Some sources include only eight parts of speech and leave interjections in their own category.)
Parts of Speech
- Word types can be divided into nine parts of speech:
- prepositions
- conjunctions
- articles/determiners
- interjections
- Some words can be considered more than one part of speech, depending on context and usage.
- Interjections can form complete sentences on their own.
Learning the names of the parts of speech probably won't make you witty, healthy, wealthy, or wise. In fact, learning just the names of the parts of speech won't even make you a better writer. However, you will gain a basic understanding of sentence structure and the English language by familiarizing yourself with these labels.
Open and Closed Word Classes
The parts of speech are commonly divided into open classes (nouns, verbs, adjectives, and adverbs) and closed classes (pronouns, prepositions, conjunctions, articles/determiners, and interjections). Open classes can be altered and added to as language develops, and closed classes are pretty much set in stone. For example, new nouns are created every day, but conjunctions never change.
In contemporary linguistics , parts of speech are generally referred to as word classes or syntactic categories. The main difference is that word classes are classified according to more strict linguistic criteria. Within word classes, there is the lexical, or open class, and the function, or closed class.
The 9 Parts of Speech
Read about each part of speech below, and practice identifying each.
Nouns are a person, place, thing, or idea. They can take on a myriad of roles in a sentence, from the subject of it all to the object of an action. They are capitalized when they're the official name of something or someone, and they're called proper nouns in these cases. Examples: pirate, Caribbean, ship, freedom, Captain Jack Sparrow.
Pronouns stand in for nouns in a sentence . They are more generic versions of nouns that refer only to people. Examples: I, you, he, she, it, ours, them, who, which, anybody, ourselves.
Verbs are action words that tell what happens in a sentence. They can also show a sentence subject's state of being ( is , was ). Verbs change form based on tense (present, past) and count distinction (singular or plural). Examples: sing, dance, believes, seemed, finish, eat, drink, be, became.
Adjectives describe nouns and pronouns. They specify which one, how much, what kind, and more. Adjectives allow readers and listeners to use their senses to imagine something more clearly. Examples: hot, lazy, funny, unique, bright, beautiful, poor, smooth.
Adverbs describe verbs, adjectives, and even other adverbs. They specify when, where, how, and why something happened and to what extent or how often. Many adjectives can be turned into adjectives by adding the suffix - ly . Examples: softly, quickly, lazily, often, only, hopefully, sometimes.
Preposition
Prepositions show spatial, temporal, and role relations between a noun or pronoun and the other words in a sentence. They come at the start of a prepositional phrase , which contains a preposition and its object. Examples: up, over, against, by, for, into, close to, out of, apart from.
Conjunction
Conjunctions join words, phrases, and clauses in a sentence. There are coordinating, subordinating, and correlative conjunctions. Examples: and, but, or, so, yet.
Articles and Determiners
Articles and determiners function like adjectives by modifying nouns, but they are different than adjectives in that they are necessary for a sentence to have proper syntax. Articles and determiners specify and identify nouns, and there are indefinite and definite articles. Examples of articles: a, an, the ; examples of determiners: these, that, those, enough, much, few, which, what.
Some traditional grammars have treated articles as a distinct part of speech. Modern grammars, however, more often include articles in the category of determiners , which identify or quantify a noun. Even though they modify nouns like adjectives, articles are different in that they are essential to the proper syntax of a sentence, just as determiners are necessary to convey the meaning of a sentence, while adjectives are optional.
Interjection
Interjections are expressions that can stand on their own or be contained within sentences. These words and phrases often carry strong emotions and convey reactions. Examples: ah, whoops, ouch, yabba dabba do!
How to Determine the Part of Speech
Only interjections ( Hooray! ) have a habit of standing alone; every other part of speech must be contained within a sentence and some are even required in sentences (nouns and verbs). Other parts of speech come in many varieties and may appear just about anywhere in a sentence.
To know for sure what part of speech a word falls into, look not only at the word itself but also at its meaning, position, and use in a sentence.
For example, in the first sentence below, work functions as a noun; in the second sentence, a verb; and in the third sentence, an adjective:
- Bosco showed up for work two hours late.
- The noun work is the thing Bosco shows up for.
- He will have to work until midnight.
- The verb work is the action he must perform.
- His work permit expires next month.
- The attributive noun (or converted adjective) work modifies the noun permit .
Learning the names and uses of the basic parts of speech is just one way to understand how sentences are constructed.
Dissecting Basic Sentences
To form a basic complete sentence, you only need two elements: a noun (or pronoun standing in for a noun) and a verb. The noun acts as a subject, and the verb, by telling what action the subject is taking, acts as the predicate.
In the short sentence above, birds is the noun and fly is the verb. The sentence makes sense and gets the point across.
You can have a sentence with just one word without breaking any sentence formation rules. The short sentence below is complete because it's a verb command with an understood "you" noun.
Here, the pronoun, standing in for a noun, is implied and acts as the subject. The sentence is really saying, "(You) go!"
Constructing More Complex Sentences
Use more parts of speech to add additional information about what's happening in a sentence to make it more complex. Take the first sentence from above, for example, and incorporate more information about how and why birds fly.
- Birds fly when migrating before winter.
Birds and fly remain the noun and the verb, but now there is more description.
When is an adverb that modifies the verb fly. The word before is a little tricky because it can be either a conjunction, preposition, or adverb depending on the context. In this case, it's a preposition because it's followed by a noun. This preposition begins an adverbial phrase of time ( before winter ) that answers the question of when the birds migrate . Before is not a conjunction because it does not connect two clauses.
- What Are Word Blends?
- Figure of Speech: Definition and Examples
- Definition and Examples of Adjectives
- Subjects, Verbs, and Objects
- What Is a Rhetorical Device? Definition, List, Examples
- What Is The Speech Act Theory: Definition and Examples
- A List of Exclamations and Interjections in English
- What Is Nonverbal Communication?
- Examples and Usage of Conjunctions in English Grammar
- Linguistic Variation
- Definition and Examples of Interjections in English
- Definition and Examples of Jargon
- Understanding the Types of Verbs in English Grammar
- Complementary vs. Complimentary: How to Choose the Right Word
- Basic Grammar: What Is a Diphthong?
- Subordinating Conjunctions
Have a language expert improve your writing
Run a free plagiarism check in 10 minutes, generate accurate citations for free.
- Knowledge Base
- Parts of speech
The 8 Parts of Speech | Chart, Definition & Examples
A part of speech (also called a word class ) is a category that describes the role a word plays in a sentence. Understanding the different parts of speech can help you analyze how words function in a sentence and improve your writing.
The parts of speech are classified differently in different grammars, but most traditional grammars list eight parts of speech in English: nouns , pronouns , verbs , adjectives , adverbs , prepositions , conjunctions , and interjections . Some modern grammars add others, such as determiners and articles .
Many words can function as different parts of speech depending on how they are used. For example, “laugh” can be a noun (e.g., “I like your laugh”) or a verb (e.g., “don’t laugh”).
Table of contents
- Prepositions
- Conjunctions
- Interjections
Other parts of speech
Interesting language articles, frequently asked questions.
A noun is a word that refers to a person, concept, place, or thing. Nouns can act as the subject of a sentence (i.e., the person or thing performing the action) or as the object of a verb (i.e., the person or thing affected by the action).
There are numerous types of nouns, including common nouns (used to refer to nonspecific people, concepts, places, or things), proper nouns (used to refer to specific people, concepts, places, or things), and collective nouns (used to refer to a group of people or things).
Ella lives in France .
Other types of nouns include countable and uncountable nouns , concrete nouns , abstract nouns , and gerunds .
Check for common mistakes
Use the best grammar checker available to check for common mistakes in your text.
Fix mistakes for free
A pronoun is a word used in place of a noun. Pronouns typically refer back to an antecedent (a previously mentioned noun) and must demonstrate correct pronoun-antecedent agreement . Like nouns, pronouns can refer to people, places, concepts, and things.
There are numerous types of pronouns, including personal pronouns (used in place of the proper name of a person), demonstrative pronouns (used to refer to specific things and indicate their relative position), and interrogative pronouns (used to introduce questions about things, people, and ownership).
That is a horrible painting!
A verb is a word that describes an action (e.g., “jump”), occurrence (e.g., “become”), or state of being (e.g., “exist”). Verbs indicate what the subject of a sentence is doing. Every complete sentence must contain at least one verb.
Verbs can change form depending on subject (e.g., first person singular), tense (e.g., simple past), mood (e.g., interrogative), and voice (e.g., passive voice ).
Regular verbs are verbs whose simple past and past participle are formed by adding“-ed” to the end of the word (or “-d” if the word already ends in “e”). Irregular verbs are verbs whose simple past and past participles are formed in some other way.
“I’ve already checked twice.”
“I heard that you used to sing .”
Other types of verbs include auxiliary verbs , linking verbs , modal verbs , and phrasal verbs .
An adjective is a word that describes a noun or pronoun. Adjectives can be attributive , appearing before a noun (e.g., “a red hat”), or predicative , appearing after a noun with the use of a linking verb like “to be” (e.g., “the hat is red ”).
Adjectives can also have a comparative function. Comparative adjectives compare two or more things. Superlative adjectives describe something as having the most or least of a specific characteristic.
Other types of adjectives include coordinate adjectives , participial adjectives , and denominal adjectives .
An adverb is a word that can modify a verb, adjective, adverb, or sentence. Adverbs are often formed by adding “-ly” to the end of an adjective (e.g., “slow” becomes “slowly”), although not all adverbs have this ending, and not all words with this ending are adverbs.
There are numerous types of adverbs, including adverbs of manner (used to describe how something occurs), adverbs of degree (used to indicate extent or degree), and adverbs of place (used to describe the location of an action or event).
Talia writes quite quickly.
Other types of adverbs include adverbs of frequency , adverbs of purpose , focusing adverbs , and adverbial phrases .
A preposition is a word (e.g., “at”) or phrase (e.g., “on top of”) used to show the relationship between the different parts of a sentence. Prepositions can be used to indicate aspects such as time , place , and direction .
I left the cup on the kitchen counter.
A conjunction is a word used to connect different parts of a sentence (e.g., words, phrases, or clauses).
The main types of conjunctions are coordinating conjunctions (used to connect items that are grammatically equal), subordinating conjunctions (used to introduce a dependent clause), and correlative conjunctions (used in pairs to join grammatically equal parts of a sentence).
You can choose what movie we watch because I chose the last time.
An interjection is a word or phrase used to express a feeling, give a command, or greet someone. Interjections are a grammatically independent part of speech, so they can often be excluded from a sentence without affecting the meaning.
Types of interjections include volitive interjections (used to make a demand or request), emotive interjections (used to express a feeling or reaction), cognitive interjections (used to indicate thoughts), and greetings and parting words (used at the beginning and end of a conversation).
Ouch ! I hurt my arm.
I’m, um , not sure.
The traditional classification of English words into eight parts of speech is by no means the only one or the objective truth. Grammarians have often divided them into more or fewer classes. Other commonly mentioned parts of speech include determiners and articles.
- Determiners
A determiner is a word that describes a noun by indicating quantity, possession, or relative position.
Common types of determiners include demonstrative determiners (used to indicate the relative position of a noun), possessive determiners (used to describe ownership), and quantifiers (used to indicate the quantity of a noun).
My brother is selling his old car.
Other types of determiners include distributive determiners , determiners of difference , and numbers .
An article is a word that modifies a noun by indicating whether it is specific or general.
- The definite article the is used to refer to a specific version of a noun. The can be used with all countable and uncountable nouns (e.g., “the door,” “the energy,” “the mountains”).
- The indefinite articles a and an refer to general or unspecific nouns. The indefinite articles can only be used with singular countable nouns (e.g., “a poster,” “an engine”).
There’s a concert this weekend.
If you want to know more about nouns , pronouns , verbs , and other parts of speech, make sure to check out some of our language articles with explanations and examples.
Nouns & pronouns
- Common nouns
- Proper nouns
- Collective nouns
- Personal pronouns
- Uncountable and countable nouns
- Verb tenses
- Phrasal verbs
- Types of verbs
- Active vs passive voice
- Subject-verb agreement
A is an indefinite article (along with an ). While articles can be classed as their own part of speech, they’re also considered a type of determiner .
The indefinite articles are used to introduce nonspecific countable nouns (e.g., “a dog,” “an island”).
In is primarily classed as a preposition, but it can be classed as various other parts of speech, depending on how it is used:
- Preposition (e.g., “ in the field”)
- Noun (e.g., “I have an in with that company”)
- Adjective (e.g., “Tim is part of the in crowd”)
- Adverb (e.g., “Will you be in this evening?”)
As a part of speech, and is classed as a conjunction . Specifically, it’s a coordinating conjunction .
And can be used to connect grammatically equal parts of a sentence, such as two nouns (e.g., “a cup and plate”), or two adjectives (e.g., “strong and smart”). And can also be used to connect phrases and clauses.
Is this article helpful?
Other students also liked, what is a collective noun | examples & definition.
- What Is an Adjective? | Definition, Types & Examples
- Using Conjunctions | Definition, Rules & Examples
More interesting articles
- Definite and Indefinite Articles | When to Use "The", "A" or "An"
- Ending a Sentence with a Preposition | Examples & Tips
- What Are Prepositions? | List, Examples & How to Use
- What Is a Determiner? | Definition, Types & Examples
- What Is an Adverb? Definition, Types & Examples
- What Is an Interjection? | Examples, Definition & Types
Get unlimited documents corrected
✔ Free APA citation check included ✔ Unlimited document corrections ✔ Specialized in correcting academic texts
- Parts of Speech
- Sentence Structure
- Sentence Types
- Rules & Usage
- Punctuation
- How to Diagram
- Diagramming Index
- Diagramming Together
- Contact & FAQ
- Stream the Documentary
- Testimonials
Download your free grammar guide here.
What are the parts of speech?
Today's the day for you to learn about this important grammatical concept! But first...let's see what the parts of speech have to do with your clothes.
Imagine that it's laundry day, and you've just finished washing and drying your clothes. You dump the contents of the laundry basket onto your bed, and you begin to organize everything. You fold matching socks together, you create a pile of perfectly folded shirts that you would be proud to show Marie Kondo, and you do the same thing with your pants, jackets, and everything else.
In the same way that we organize our clothes into groups based on each item's function and features, we organize our words into categories based on each word's function and features. We call these categories of words the parts of speech .
Some people categorize words into eight parts of speech, and some people categorize them into nine parts of speech. Neither one is wrong; they're just two ways of looking at things. We'll go over these categories below. Here at English Grammar Revolution, we categorize words into eight groups, but I'll tell you about the ninth one as well.
There's one important thing for you to know before we look at these categories: most words can function as more than one part of speech . They will only do one job at a time, but they can do different things in different sentences. Look at the word love in the following sentences.
My love of grammar inspired me to make this website.
Here, love is functioning as a noun. It's the subject of the sentence.
I love you.
Now, love is acting as a verb ! It's telling us an action.
The only way we can know how to categorize a word is to look at how it's acting within a sentence.
Okay, let's check out the parts of speech!
The 8 Parts of Speech
Nouns name people, places, things, or ideas. They're important parts of our sentences because they perform important jobs (subjects, direct objects, predicate nouns, etc.).
A peacock walked through our yard .
The dog howled during the night , and it woke up our whole family .
Sometimes people get bogged down with this part of speech because there are also many subcategories of nouns. This is similar to the way that we have subcategories for our clothes. You may have a whole drawer full of pants, but you may also have different types of pants that you use for different purposes (workout pants, lounge pants, work pants, etc.). This is similar to the way that we can further categorize nouns into smaller groups.
Here are a few of the subcategories of nouns: proper nouns, common nouns , collective nouns , possessive nouns , and compound nouns.
Tip : Other parts of speech also have subcategories. If you're studying this information for the first time, ignore the subcategories and focus on learning about each broader category.
2. Pronouns
Pronouns take the place of nouns. When most people hear the word pronoun , they think of words like I, we, me, he, she, and they . These are indeed all pronouns, but they're a part of a subcategory called personal pronouns. Know that there are other kinds of pronouns out there as well. Here are some examples: myself, his, someone , and who .
Here are a few of the subcategories of pronouns: reflexive pronouns , indefinite pronouns , possessive pronouns , and relative pronouns .
When we walked across the bridge, we saw someone who knows you .
I will fix the dishwasher myself .
Verbs show actions or states of being. They are integral elements of sentences .
The shuttle will fly into space.
The loving mother comforted and soothed the baby.
In the Montessori tradition of education, they use a large red circle or ball to symbolize a verb, and they often teach children to think of verbs as a sun providing the energy of a sentence. Isn't that a lovely way to think of verbs?
I know that you're getting tired of hearing about subcategories, but linking verbs, action verbs, and helping verbs are described on the verb page here .
Modal verbs are described on that link, and you can learn even more about action verbs and linking verbs from those links.
4. Adjectives
Adjectives describe, or modify , nouns and pronouns. I like to think of them as adding color to language. It would be hard to describe a beautiful sunset or the way a touching story makes us feel without using adjectives.
The wise, handsome owl had orange eyes.
The caring father rocked the baby.
One helpful strategy for learning about and identifying adjectives is to learn how they are diagrammed . Sentence diagrams are pictures of sentences that help us see how all of the words are grammatically related. Since adjectives modify nouns and pronouns, we diagram them on slanted lines under the nouns/pronouns that they are modifying.
My green and white book fell.
Book is a noun. It's the subject of this sentence. My, green , and white are all adjectives describing book , so we diagram them on slanted lines underneath book . Isn't that a great way to SEE what adjectives do?
Nine Parts of Speech
When people categorize words into eight parts of speech, they say that articles/determiners ( a, an, the, this, that, etc. ) are subcategories of adjectives.
When people categorize words into nine parts of speech, they say that articles/determiners make up their own category and are not a part of the adjective category.
Adverbs modify (describe) verbs, adjectives, and other adverbs. Adverbs are similar to adjectives in that they both modify things.
The extremely cute koala hugged its mom very tightly .
The dog howled loudly .
Sentence diagrams also make it really easy to see what adverbs do. Take a look at this diagram. What do you notice about the way the adverbs are diagrammed?
James ran very quickly.
Did you notice that the adverbs are diagrammed on slanted lines under the words that they are modifying?
Ran is a verb. Quickly is an adverb telling us more about the verb ran . Very is an adverb telling us more about the adverb quickly .
Doesn't the diagram make it easier to SEE what adverbs do?
6. Prepositions
Prepositions are probably the most difficult part of speech to explain, but people generally have an easier time understanding them when they look at lots of examples. So...let's start with some examples of commonly used prepositions!
in, for, of, off, if, until
The frog sat in the flower.
The baby cried for a long time.
I'm so convinced that memorizing some of the prepositions will be helpful to you that I'll teach you a preposition song .
Okay, now that we've looked at some examples, let's look at the definition of a preposition.
Prepositions show the relationship between a noun or a pronoun and some other word in the rest of the sentence.
Sentence diagrams will come to the rescue again to help us visualize what prepositions do. Think of prepositions as "noun hooks" or "noun bridges." In the diagram below, notice how the preposition down links the noun tree to the rest of the sentence.
The cat ran down the tree.
Since prepositions always function as "noun hooks," they'll always be accompanied by a noun. The preposition plus its noun is called a prepositional phrase .
If you find a word from the preposition list that's not a part of a prepositional phrase, it's not functioning as a preposition. (You remember that words can function as different parts of speech , right?)
7. Conjunctions
Conjunctions join things together. They can join words or groups of words (phrases and clauses).
The hummingbird sat and waited .
The conjunction and is joining the words sat and waited .
Do you live near the park or near the hospital ?
The conjunction or is joining the phrases near the park and near the hospital.
The two conjunctions we just looked at ( and and or ) belong to a subcategory called coordinating conjunctions, but there are other subcategories of conjunctions as well. The other one that we use most often is subordinating conjunctions . Subordinating conjunctions are a little trickier to learn because they involve a more complicated concept ( dependent adverb clauses ).
For now, just know that all conjunctions, no matter what type they are, connect things together. In fact, let's LOOK at how they do this by looking at a sentence diagram.
Here is a sentence diagram showing how the coordinating conjunction and connects two clauses.
She cooked, and he cleaned.
8. Interjections
Interjections show excitement or emotion.
Wow ! That jump was amazing!
Phew , the baby finally fell asleep.
They are different from the other parts of speech in that they're not grammatically related to the rest of the sentence, and the way that we diagram them reflects that. Look at how we diagram interjections :
Yes ! We won the lottery!
The interjection yes sit sits there on its own line floating above the rest of the sentence. This helps show that it's not grammatically related to the other words in the sentence.
It's time to review what we covered on this page.
- We can categorize the words that we use into groups based on their functions and features. We call these groups the parts of speech.
- Many words can function as multiple parts of speech. You need to look at each word in the context of a sentence in order to say what part of speech it is.
- The eight parts of speech are nouns, pronouns, adjectives, verbs, adverbs, conjunctions, prepositions, and interjections.
- You just learned about all of the parts of speech. Give yourself a high five!
If you'd like to teach or learn grammar the easy way—with sentence diagrams—check out our Get Smart Grammar Program .
It starts from the very beginning and teaches you grammar and sentence diagramming in easy, bite-size lessons.
Hello! I'm Elizabeth O'Brien, and my goal is to get you jazzed about grammar.
This is original content from https://www.english-grammar-revolution.com/parts-of-speech.html
Our Free Guide Gives You A Fun Way
To Teach And Learn The Basics v
Elizabeth O'Brien is the creator of Grammar Revolution.
Her lessons are guaranteed to give you more confidence in your communication skills and make you smile. :)
Other Helpful Resources
- Learn more about how Montessori classrooms teach the parts of speech .
Sentences & Diagrams
Shop & log in.
|
|
|
Home BLOG SHOP Contact PRIVACY POLICY Your Purchases
Copyright © 2009 - 2024 Grammar Revolution. All Rights Reserved.
JOIN OUR PRIVATE FACEBOOK GROUP RSS INSTAGRAM
Instantly enhance your writing in real-time while you type. With LanguageTool
Get started for free
Understanding the Parts of Speech in English
Yes, the parts of speech in English are extensive and complex. But we’ve made it easy for you to start learning them by gathering the most basic and essential information in this easy-to-follow and comprehensive guide.
Parts of Speech: Quick Summary
Parts of speech assign words to different categories. There are eight different types in English. Keep in mind that a word can belong to more than one part of speech.
Learn About:
- Parts of Speech
- Prepositions
- Conjunctions
- Interjections
Using the Parts of Speech Correctly In Your Writing
Knowing the parts of speech is vital when learning a new language.
When it comes to learning a new language, there are several components you should understand to truly get a grasp of the language and speak it fluently.
It’s not enough to become an expert in just one area. For instance, you can learn and memorize all the intricate grammar rules, but if you don’t practice speaking or writing colloquially, you will find it challenging to use that language in real time.
Conversely, if you don’t spend time trying to learn the rules and technicalities of a language, you’ll also find yourself struggling to use it correctly.
Think of it this way: Language is a tasty, colorful, and nutritious salad. If you fill your bowl with nothing but lettuce, your fluency will be bland, boring, and tasteless. But if you spend time cultivating other ingredients for your salad—like style, word choice, and vocabulary— then it will become a wholesome meal you can share with others.
In this blog post, we’re going to cover one of the many ingredients you’ll need to build a nourishing salad of the English language—the parts of speech.
Let’s get choppin’!
What Are the Parts of Speech in English?
The parts of speech refer to categories to which a word belongs. In English, there are eight of them : verbs , nouns, pronouns, adjectives, adverbs, prepositions, conjunctions, and interjections.
Many English words fall into more than one part of speech category. Take the word light as an example. It can function as a verb, noun, or adjective.
Verb: Can you please light the candles?
Noun: The room was filled with a dim, warm light .
Adjective: She wore a light jacket in the cool weather.
The parts of speech in English are extensive. There’s a lot to cover in each category—much more than we can in this blog post. The information below is simply a brief overview of the basics of the parts of speech. Nevertheless, the concise explanations and accompanying example sentences will help you gain an understanding of how to use them correctly.
What Are Verbs?
Verbs are the most essential parts of speech because they move the meaning of sentences along.
A verb can show actions of the body and mind ( jump and think ), occurrences ( happen or occur ), and states of being ( be and exist ). Put differently, verbs breathe life into sentences by describing actions or indicating existence. These parts of speech can also change form to express time , person , number , voice , and mood .
There are several verb categories. A few of them are:
- Regular and irregular verbs
- Transitive and intransitive verbs
- Auxiliary verbs
A few examples of verbs include sing (an irregular action verb), have (which can be a main verb or auxiliary verb), be , which is a state of being verb, and would (another auxiliary verb).
My little sister loves to sing .
I have a dog and her name is Sweet Pea.
I will be there at 5 P.M.
I would like to travel the world someday.
Again, these are just the very basics of English verbs. There’s a lot more that you should learn to be well-versed in this part of speech, but the information above is a good place to start.
What Are Nouns?
Nouns refer to people ( John and child ), places ( store and Italy ), things ( firetruck and pen ), and ideas or concepts ( love and balance ). There are also many categories within nouns. For example, proper nouns name a specific person, place, thing, or idea. These types of nouns are always capitalized.
Olivia is turning five in a few days.
My dream is to visit Tokyo .
The Supreme Court is the highest court in the United States.
Some argue that Buddhism is a way of life, not a religion.
On the other hand, common nouns are not specific to any particular entity and are used to refer to any member of a general category.
My teacher is the smartest, most caring person I know!
I love roaming around a city I’ve never been to before.
This is my favorite book , which was recommended to me by my father.
There’s nothing more important to me than love .
Nouns can be either singular or plural. Singular nouns refer to a single entity, while plural nouns refer to multiple entities.
Can you move that chair out of the way, please? (Singular)
Can you move those chairs out of the way, please? (Plural)
While many plural nouns are formed by adding an “–s” or “–es,” others have irregular plural forms, meaning they don’t follow the typical pattern.
There was one woman waiting in line.
There were several women waiting in line.
Nouns can also be countable or uncountable . Those that are countable refer to nouns that can be counted as individual units. For example, there can be one book, two books, three books, or more. Uncountable nouns cannot be counted as individual units. Take the word water as an example. You could say I drank some water, but it would be incorrect to say I drank waters. Instead, you would say something like I drank several bottles of water.
What Are Pronouns?
A pronoun is a word that can take the place of other nouns or noun phrases. Pronouns serve the purpose of referring to nouns without having to repeat the word each time. A word (or group of words) that a pronoun refers to is called the antecedent .
Jessica went to the store, and she bought some blueberries.
In the sentence above, Jessica is the antecedent, and she is the referring pronoun. Here’s the same sentence without the proper use of a pronoun:
Jessica went to the store, and Jessica bought some blueberries.
Do you see how the use of a pronoun improves the sentence by avoiding repetitiveness?
Like all the other parts of speech we have covered, pronouns also have various categories.
Personal pronouns replace specific people or things: I, me, you, he, she, him, her, it, we, us, they, them.
When I saw them at the airport, I waved my hands up in the air so they could see me .
Possessive pronouns indicate ownership : mine, ours, yours, his, hers, theirs, whose.
I think that phone is hers .
Reflexive pronouns refer to the subject of a sentence or clause. They are used when the subject and the object of a sentence refer to the same person or thing: myself, yourself, himself, herself, itself, ourselves, yourselves, themselves.
The iguanas sunned themselves on the roof of my car.
Intensive pronouns have the same form as reflexive pronouns and are used to emphasize or intensify the subject of a sentence.
I will take care of this situation myself .
Indefinite pronouns do not refer to specific individuals or objects but rather to a general or unspecified person, thing, or group. Some examples include someone, everybody, anything, nobody, each, something, and all.
Everybody enjoyed the party. Someone even said it was the best party they had ever attended.
Demonstrative pronouns are used to identify or point to specific pronouns: this, that, these, those.
Can you pick up those pens off the floor?
Interrogative pronouns are used to ask questions and seek information: who, whom, whose, which, what.
Who can help move these heavy boxes?
Relative pronouns connect a clause or a phrase to a noun or pronoun: who, whom, whose, which, that, what, whoever, whichever, whatever.
Christina, who is the hiring manager, is the person whom you should get in touch with.
Reciprocal pronouns are used to refer to individual parts of a plural antecedent. They indicate a mutual or reciprocal relationship between two or more people or things: each other or one another.
The cousins always giggle and share secrets with one another .
What Are Adjectives?
Adjectives modify nouns or pronouns, usually by describing, identifying, or quantifying them. They play a vital role in adding detail, precision, and imagery to English, allowing us to depict and differentiate the qualities of people, objects, places, and ideas.
The blue house sticks out compared to the other neutral-colored ones. (Describes)
That house is pretty, but I don’t like the color. (Identifies)
There were several houses I liked, but the blue one was unique. (Quantifies)
We should note that identifying or quantifying adjectives are also referred to as determiners. Additionally, articles ( a, an, the ) and numerals ( four or third ) are also used to quantify and identify adjectives.
Descriptive adjectives have other forms (known as comparative and superlative adjectives ) that allow for comparisons. For example, the comparative of the word small is smaller, while the superlative is smallest.
Proper adjectives (which are derived from proper nouns) describe specific nouns. They usually retain the same spelling or are slightly modified, but they’re always capitalized. For example, the proper noun France can be turned into the proper adjective French.
What Are Adverbs?
Adverbs are words that modify or describe verbs, adjectives, other adverbs, or entire clauses. Although many adverbs end in “–ly,” not all of them do. Also, some words that end in “–ly” are adjectives, not adverbs ( lovely ).
She dances beautifully .
In the sentence above, beautifully modifies the verb dances.
We visited an extremely tall building.
Here, the adverb extremely modifies the adjective tall.
He had to run very quickly to not miss the train.
The adverb very modifies the adverb quickly.
Interestingly , the experiment yielded unexpected results that left us baffled.
In this example, the word interestingly modifies the independent clause that comprises the rest of the sentence (which is why they’re called sentence adverbs ).
Like adjectives, adverbs can also have other forms when making comparisons. For example:
strongly, more strongly, most strongly, less strongly, least strongly
What Are Prepositions?
Prepositions provide context and establish relationships between nouns, pronouns, and other words in a sentence. They indicate time, location, direction, manner, and other vital information. Prepositions can fall into several subcategories. For instance, on can indicate physical location, but it can also be used to express time.
Place the bouquet of roses on the table.
We will meet on Monday.
There are many prepositions. A few examples include: about, above, across, after, before, behind, beneath, beside, during, except, for, from, in, inside, into, like, near, of, off, onto, past, regarding, since, through, toward, under, until, with, without.
Prepositions can contain more than one word, like according to and with regard to.
What Are Conjunctions?
Conjunctions are words that join words, phrases, or clauses together within a sentence and provide information about the relationship between those words. There are different types of conjunctions.
Coordinating conjunctions connect words, phrases, or clauses of equal importance: and, but, for, not, or, so, yet.
I like to sing, and she likes to dance.
Correlative conjunctions come in pairs and join balanced elements of a sentence: both…and, just as…so, not only…but also, either…or, neither…nor, whether…or.
You can either come with us and have fun, or stay at home and be bored.
Subordinating conjunctions connect dependent clauses to independent clauses. A few examples include: after, although, even though, since, unless, until, when , and while.
They had a great time on their stroll, even though it started raining and they got soaked.
Conjunctive adverbs are adverbs that function as conjunctions, connecting independent clauses or sentences. Examples of conjunctive adverbs are also, anyway, besides, however, meanwhile, nevertheless, otherwise, similarly, and therefore .
I really wanted to go to the party. However , I was feeling sick and decided to stay in.
I really wanted to go to the party; however , I was feeling sick and decided to stay in.
What Are Interjections?
Interjections are words that express strong emotions, sudden reactions, or exclamations. This part of speech is usually a standalone word or phrase, but even when it is part of a sentence, it does not relate grammatically to the rest of .
There are several interjections. Examples include: ahh, alas, bravo, eww, hello, please, thanks, and oops.
Ahh ! I couldn’t believe what was happening.
When it comes to improving your writing skills, understanding the parts of speech is as important as adding other ingredients besides lettuce to a salad.
The information provided above is indeed extensive, but it’s critical to learn if you want to write effectively and confidently. LanguageTool—a multilingual writing assistant—makes comprehending the parts of speech easy by detecting errors as you write.
Give it a try—it’s free!
Unleash the Professional Writer in You With LanguageTool
Go well beyond grammar and spell checking. Impress with clear, precise, and stylistically flawless writing instead.
Works on All Your Favorite Services
- Thunderbird
- Google Docs
- Microsoft Word
- Open Office
- Libre Office
We Value Your Feedback
We’ve made a mistake, forgotten about an important detail, or haven’t managed to get the point across? Let’s help each other to perfect our writing.
- See our prices
- Essay Editing and Proofreading
- Dissertation Proofreading and Editing
- PhD Editing and Proofreading
- Proofreading and Copy-Editing for Businesses
- Frequently Asked Questions
- Essay Editing and Proofreading Proofreading services for essays, coursework and reports.
- Dissertation Proofreading and Editing For undergraduate and master's students, all subjects covered.
- PhD Editing and Proofreading Chapter-by-chapter proofreading and format editing for PhD theses.
- Proofreading and Copy-Editing for Businesses Essential proofreading services for businesses and brands.
- CV Editing Make your job application shine with a professionally edited CV.
- +44 (0) 207 391 9035 [email protected] Speak with us on WhatsApp Start Live Chat
- Our Editors
- The Oxbridge Editing Blog The latest articles from our team of educational creatives.
The Eight Parts of Speech in English: Definitions and Examples
Speak right now to our live team of english staff.
The English language, with its vast vocabulary and intricate grammar rules, is built upon eight fundamental parts of speech. Understanding these parts of speech is crucial for effective communication, writing, and comprehension. From nouns to interjections, each part plays a unique role in constructing sentences and conveying meaning. In this article, we will explore the eight parts of speech in English, providing definitions and examples to enhance your understanding.
Nouns are words that denote a person, place, thing, or idea. They serve as the subject or object of a sentence and can be singular or plural.
- Person: Mary, teacher, doctor
- Place: London, school, hospital
- Thing: book, car, computer
- Idea: freedom, love, happiness
Pronouns are words that replace nouns in a sentence to avoid repetition. They can refer to people, places, things, or ideas previously mentioned.
- Personal Pronouns: I, you, he, she, it, we, they
- Demonstrative Pronouns: this, that, these, those
- Possessive Pronouns: mine, yours, his, hers, ours, theirs
- Relative Pronouns: who, whom, whose, which, that
Verbs are action words that express an action, occurrence, or state of being within a sentence. They are essential for conveying actions and events.
- Action Verbs: run, jump, write, sing
- Linking Verbs: am, is, are, was, were, become, seem
- Helping Verbs: have, has, had, do, does, did, can, could, will, would, shall, should, may, might, must
Adjectives are words that modify or describe nouns or pronouns, providing additional information about their characteristics or qualities.
- Descriptive Adjectives: beautiful, intelligent, tall
- Quantitative Adjectives: many, few, several
- Demonstrative Adjectives: this, that, these, those
- Possessive Adjectives: my, your, his, her, its, our, their
Adverbs are words that modify verbs, adjectives, or other adverbs, providing information about how, when, where, or to what extent an action or state occurs.
- How: quickly, slowly, carefully
- When: now, later, yesterday
- Where: here, there, everywhere
- To What Extent: very, extremely, quite
Prepositions
Prepositions are words that establish relationships between nouns or pronouns and other words in a sentence, indicating location, direction, time, or manner.
- Location: in, on, at, under, above
- Direction: to, from, into, onto, towards
- Time: before, after, during, until, since
- Manner: with, by, through, without
Conjunctions
Conjunctions are words that connect words, phrases, or clauses within a sentence, facilitating coherence and cohesion in writing.
- Coordinating Conjunctions: and, but, or, nor, for, so, yet
- Subordinating Conjunctions: because, although, while, if, when, since
- Correlative Conjunctions: either…or, neither…nor, both…and, not only…but also
Interjections
Interjections are words or phrases used to express emotions, reactions, or exclamations. They often stand alone or appear at the beginning of a sentence and are punctuated with an exclamation mark.
The Eight Parts of Speech: The Essence of English Grammar
The eight parts of speech in English — nouns, pronouns, verbs, adjectives, adverbs, prepositions, conjunctions, and interjections — form the foundation of linguistic expression. By recognising and utilising these components skillfully, communicators can convey ideas, emotions, and information with clarity and precision, enriching the language and fostering effective communication across diverse contexts.
Not confident about your English skills? We’re here to help. Our expert editing and proofreading services ensure your academic or commercial documents shine with clarity and precision. Reach out to us today for polished, professional content that makes a lasting impression.
Share This Article
Fewer vs. Less: Which Is Correct?
How Long Should a Sentence Be?
7 Essential Skills for Proofreading and Editing
Talk to our experts
1800-120-456-456
- Speech on Importance of English Language
Speech on Importance of English: Tips, Samples and Ways to Present
The English language is a key part of our modern world, connecting people across different cultures and countries. It’s essential for communication in business, education, and everyday life . Learning English opens up many opportunities and helps you interact with others globally. This article provides examples of short speeches on the importance of English, showing how knowing this language can benefit you in various aspects of your life and make it easier to connect with people around the world.
Tips to Keep in Mind Before Giving a Speech:
The following steps can be followed for a more outgoing and overall ready approach when presenting such a speech, especially on such an important topic.
Look presentable and neat. Dress well, make your hair and overall look clean and fresh before presenting your speech.
Rehearse your speech. It is important to go over and even read out your complete speech a couple times before actually presenting it, no matter how confident you are feeling about it.
Read the audience. Knowing your audience and getting a feel for them is important as it can set the vibe and tone of your speech in your head, before you even present it.
Get materials such as emergency notes, slides and presentations ready. Visual aids like this can help you take your speech to the next level.
Decide the length/duration of the speech. While this comes under knowing your audience, it is important to recognise this step and also important to know when to end. Sometimes, it may be important to finish your speech earlier than planned or extend it further, all depending on the reaction and interest of your audiences.
Complementary Format for Short Speech on Importance
You can use the format below for additional guidance or to refine your speech on the importance of the English language. This structure may help you include important points or improve your speech.
Introduction
Opening Statement: Begin with an engaging quote, question, or anecdote related to the English language to capture the audience’s interest.
Purpose of the Speech: Briefly outline what you will cover and explain why learning English is important.
Personal Connection: Share a brief personal story or experience that highlights your understanding of the importance of English.
Definition and Importance
Define the English Language: Clearly explain what the English language is and its role in global communication.
Importance: Discuss why English is crucial for personal growth , education, and professional success.
Key Benefits of Learning English
Global Communication: How English serves as a common language for people around the world.
Career Opportunities: The impact of English proficiency on job prospects and career advancement.
Educational Access: How English opens doors to higher education and learning resources.
Cultural Exchange: The role of English in connecting with diverse cultures and understanding global media .
Real-Life Examples and Success Stories
Examples: Share stories of individuals or successful professionals who have benefited from knowing English.
Lessons Learned: Highlight what can be learned from these examples and how the audience can apply these lessons.
Practical Tips for Learning English
Consistent Practice: Engage in regular practice through reading, writing, speaking, and listening.
Language Immersion: Immerse yourself in English-speaking environments and media.
Seek Feedback: Use feedback from teachers or language partners to improve your skills.
Set Goals: Set clear, achievable goals for your English learning journey.
Overcoming Common Challenges
Obstacles: Discuss common challenges in learning English, such as fear of making mistakes or lack of practice opportunities.
Strategies: Offer strategies to overcome these challenges, such as using language learning apps or joining language groups.
Recap Main Points: Summarise the key takeaways from your speech.
Personal Reflection: Reinforce the importance of learning English with a final personal story or reflection.
Call to Action: Encourage the audience to embrace the English language and take steps towards improving their language skills.
Closing Statement: End with an inspiring quote or statement that underscores the value of English in today’s world.
You can adjust this format to better suit your needs or refine your speech accordingly. This structure serves as a useful guideline for crafting your speech.
Speech on Importance of English 1
Now that you know what to do before giving your speech, lets look at some actual samples of motivational speech on importance of English language.
“English is the passport to the world.” This quote shows just how vital English has become in our global society. Today, I want to talk about why English is so important, how it can open up many opportunities for you, and why learning it is worth the effort. I’ll also share some personal experiences that highlight just how impactful English can be.
English is a language spoken by millions of people worldwide. It is used for international communication, business, and education. Learning English is crucial because it allows you to connect with people from different cultures, enhances your career opportunities, and provides access to a wealth of information and resources.
One of the key benefits of learning English is global communication. English is often used as a common language among people who speak different native languages. This makes it easier to communicate and collaborate with others around the world. In terms of career opportunities, many jobs and career paths require or prefer English skills. Being proficient in English can improve your chances of getting a good job and advancing in your career. Additionally, English is the primary language of many prestigious universities and academic resources. Knowing English opens doors to higher education and valuable learning materials. Furthermore, English allows you to understand and appreciate different cultures through media, books, and conversations with people from around the world.
Consider the story of a student who learned English and was able to study abroad, experiencing different cultures and gaining a top job in an international company. This example shows how learning English can lead to amazing opportunities and personal growth.
So, how can we learn English effectively? Start with consistent practice. Make it a habit to practice English daily by reading books, watching English movies, and speaking with others. Immerse yourself in the language by surrounding yourself with English through music, TV shows, and conversations. Seek feedback from teachers or language partners to help you improve and stay on track. Set small, achievable goals for your English learning, like learning new vocabulary each week or practicing speaking for a few minutes every day.
Learning English can be challenging, especially if you’re afraid of making mistakes or don’t have many chances to practice. To overcome these challenges, use language learning apps, join English-speaking groups, and remind yourself that making mistakes is a normal part of learning.
To sum up, English is a powerful tool that can greatly enhance your personal and professional life. By learning and mastering English, you open up new opportunities for communication, education, and career advancement. Take the first step towards improving your English skills today, and remember, every bit of progress brings you closer to unlocking new doors. As Nelson Mandela once said, “Education is the most powerful weapon which you can use to change the world.” So let’s embrace English and see where it takes us. Thank you.
Speech on Importance of English 2:
“Language is the road map of a culture.” This quote reminds us of how language connects us with the world. Today, I’ll discuss why English is so important and how it can enrich your life. I'll share some personal experiences and practical advice to help you understand the value of learning English.
English is a global language used for communication, education, and business. It helps people from different countries understand each other and work together. Knowing English is essential because it expands your opportunities in both your personal and professional life.
One of the key benefits of learning English is the ability to connect with others. English is commonly used in international conversations, allowing you to make friends and collaborate with people from various backgrounds. In terms of career growth, many careers require English skills. Being proficient in English can enhance your job prospects and help you succeed in the workplace. Additionally, English gives you access to better educational resources and institutions, as a lot of academic materials are in English. Finally, learning English helps you experience and appreciate different cultures through books, movies, and music, opening up a world of cultural knowledge and experiences.
Think about someone who learned English and was able to travel the world, gain a scholarship, or land a job in a leading company. These success stories show how English can transform lives and create new opportunities.
So, how can we learn English effectively? Start with daily practice. Engage with English every day by reading, writing, and speaking. This builds your skills and keeps you motivated. Immerse yourself in the language by watching movies, listening to music, and reading books in English. Get feedback from teachers or language partners to improve your skills. Set small, manageable goals, like mastering a few new words each week or practicing speaking with a friend.
Learning English can be difficult, especially if you feel unsure of yourself or lack practice opportunities. To overcome these challenges, use online resources, join English clubs, and remember that making mistakes is a part of learning.
English is a powerful tool that can greatly benefit your life. By learning English, you open up a world of opportunities for communication, career advancement, and personal growth. Start working on your English skills today, and you’ll find new doors opening for you. As the saying goes, “The limits of my language mean the limits of my world.” So, let’s embrace the English language and explore the endless possibilities it offers. Thank you.
Speech on Importance of English 3:
“English is the universal language of our time .” This quote by David Crystal, a renowned linguist, highlights the central role English plays in our global society. Today, I want to talk about why English is so important and how mastering it can positively impact your life. I’ll share some personal insights and practical tips to help you see the value of learning this language.
English is spoken by people all around the world and is commonly used for international communication, education, and business. Learning English is important because it connects you with people globally, enhances career opportunities, and provides access to a vast amount of information and resources.
One of the key benefits of learning English is the ability to connect globally. English is widely used for communication between people from different countries, allowing you to engage in conversations and build relationships across cultures. In terms of career opportunities, many jobs require English skills, and being proficient can give you a competitive edge in the job market and help you advance in your career. English also provides educational access, as it is the primary language of many leading universities and academic resources. Knowing English opens doors to higher education and a wide range of learning materials. Furthermore, English helps you appreciate and enjoy various forms of media, such as books, movies, and music, connecting you to diverse cultural experiences.
Consider the example of a young professional who learned English and secured a job with an international company, or a student who earned a scholarship to study abroad because of their English skills. These stories show how English can create valuable opportunities and lead to personal and professional growth.
So, how can we effectively learn English? Start with daily practice. Incorporate English into your daily routine through reading, writing, speaking, and listening. Engage with English-language media, such as films, music, and books, to immerse yourself in the language. Seek feedback from teachers or language partners to improve your skills and build confidence. Set achievable goals by breaking your learning into smaller, manageable tasks, like learning new vocabulary or practicing speaking for a few minutes each day.
Learning English can be challenging, especially if you’re worried about making mistakes or lack practice opportunities. To overcome these challenges, use online resources, join language groups, and remember that making mistakes is a normal part of learning.
In conclusion, English is a crucial tool that can greatly enrich your personal and professional life. By learning and mastering English, you unlock new opportunities for communication, career advancement, and cultural understanding. Take the first step towards improving your English skills today, and you’ll find many doors opening for you. As David Crystal aptly put it, “English is the universal language of our time.” Embrace it and explore the endless possibilities it offers. Thank you.
2 Minute Speech on Importance of English Language
“English is not just a language; it’s a bridge to the world,” says Wilfred Funk, a well-known lexicographer. Today, I want to explain why English is so important and how learning it can greatly benefit your life.
English is a global language used for communication, education, and business. It’s spoken in many countries and helps people from different backgrounds understand each other. Knowing English opens up many opportunities for personal and professional growth.
One of the key benefits of learning English is wider communication. English allows you to interact with people from all over the world, making it easier to build connections and friendships. In terms of career advancement, many jobs require English skills, and being fluent can improve your job prospects and help you succeed in your career. English also provides educational access, as it is the language of many top universities and research materials, offering you more learning opportunities. Furthermore, learning English helps you enjoy movies, books, and music from different cultures, enriching your experience.
So, how can we effectively learn English? Start with daily practice by using English in your daily activities, such as reading news articles or speaking with friends. Engage with English-language media, such as films and songs, to become more familiar with the language. Ask for feedback from teachers or native speakers to help improve your skills. Set small, achievable goals, like learning a few new words each week.
To conclude, English is a vital tool that enhances communication, career opportunities, and cultural experiences. Embrace learning English to open up new possibilities in your life. As Wilfred Funk said, “English is not just a language; it’s a bridge to the world.” Let’s build that bridge together. Thank you.
Important Takeaways from Speech on Importance of English Language:
English is crucial for global communication, career advancement, educational access, and cultural understanding. It helps connect people across different backgrounds and opens up various opportunities.
Mastering English can improve job prospects, provide access to top educational resources, and enhance your ability to enjoy and appreciate international media.
Regular practice, engaging with English media, seeking feedback, and setting achievable goals are effective strategies for improving English skills.
A well-structured speech on the importance of English should include an introduction with a relevant quote, a clear definition of English’s significance, key benefits, practical tips for learning, and a strong conclusion reinforcing the language's value.
A speech on the importance of English can be effectively delivered in various lengths, with a concise version suitable for about 2 minutes, making it accessible and impactful for shorter presentations.
FAQs on Speech on Importance of English Language
1. What are some key points to include in a speech on self-confidence?
Include a compelling quote or personal story, define self-confidence, discuss its importance, outline key components like self-awareness and positive self-talk, provide real-life examples, offer practical tips, and address common barriers.
2. How can I structure a speech on the importance of English language?
Start with a relevant quote, define the significance of English, highlight its benefits (communication, career, education, culture), provide practical tips for learning, and conclude with a strong summary and call to action.
3. What are effective tips for improving self-confidence?
Practice self-awareness, engage in positive self-talk, set and achieve small goals, and build resilience by learning from failures.
4. Why is learning English important?
English is important for global communication, career opportunities, access to educational resources, and understanding diverse cultures.
5. How long should a typical speech on the importance of English be?
A typical speech can vary in length, but a concise version should be around 2-4 minutes, depending on the speaking pace and content depth.
6. What are some practical tips for learning English?
Incorporate English into daily routines, engage with media in English, seek feedback, and set small, achievable goals.
7. How can I make a speech on self-confidence engaging?
Use personal anecdotes, relatable examples, and practical advice. Start with a strong opening, provide clear benefits, and end with an inspiring conclusion.
8. What are common challenges in learning English and how can they be overcome?
Challenges include fear of making mistakes and lack of practice opportunities. Overcome these by using online resources, joining language groups, and remembering that mistakes are part of the learning process.
9. How can I ensure my speech on self-confidence is impactful?
Clearly define self-confidence, provide actionable tips, use personal stories, and offer practical advice. End with a motivational conclusion and a call to action.
10. What should be the focus of a speech on the importance of English?
The focus should be on how English facilitates global communication, enhances career prospects, provides educational access, and offers cultural insights.
11. How can real-life examples enhance a speech on self-confidence?
Real-life examples demonstrate how self-confidence leads to success, making the speech relatable and providing practical insights for the audience.
12. What is a good way to conclude a speech on the importance of English?
Summarise the key benefits, reinforce the language’s value, and end with a memorable quote or statement that motivates the audience to embrace learning English.
For security reasons, we do not recommend using the “Keep me logged in” option on public devices.
This posting is locked only for district employees, in order to apply, you need to provide a password and click "Submit".
Are you sure?
For security reasons, we do not recommend using the “Keep me logged in” option on public devices. Click Continue to move forward with stay logged in.
Reset your password
Is this your email @ ?
Enter email address to retrieve your username and/or reset your password.
Verify Your Email Address
Email verification link sent.
An Email Verification link was sent to the email address . The verification link will expire in 48 hours. Please click on the link in the email you received to continue and complete the verification process.
If you do not see the email in your inbox after approximately 10-15 minutes, check your SPAM/Junk email folder(s) , thank you.
Speech & Language Pathology Assistant at Centralia Elementary School District
Application Deadline
9/11/2024 3:30 PM Pacific
Date Posted
Number of openings, add'l salary info, length of work year, employment type, location/hours, requirements / qualifications.
Please submit required documents (only in PDF): 1) One letter of recommendation 2) Resume 3) Proof of High School diploma 4) SLPA License - Speech/Language Pathology Assistant with the State of California Speech/Language Pathology and Audiology Board. ONLY COMPLETE PACKETS WILL BE CONSIDERED
Comments and Other Information
Links related to this job.
- View Other Job Desc. / Ess. Elem.
CalPERS Links
- CalPERS Retirement Benefits
Centralia Elementary School District
Session Expiring Warning
For your safety and protection, your session is about to expire. If you wish to continue your session, please click OK .
SpeechCraft: A Fine-grained Expressive Speech Dataset with Natural Language Description
Speech-language multi-modal learning presents a significant challenge due to the fine nuanced information inherent in speech styles. Therefore, a large-scale dataset providing elaborate comprehension of speech style is urgently needed to facilitate insightful interplay between speech audio and natural language. However, constructing such datasets presents a major trade-off between large-scale data collection and high-quality annotation. To tackle this challenge, we propose an automatic speech annotation system for expressiveness interpretation that annotates in-the-wild speech clips with expressive and vivid human language descriptions. Initially, speech audios are processed by a series of expert classifiers and captioning models to capture diverse speech characteristics, followed by a fine-tuned LLaMA for customized annotation generation. Unlike previous tag/templet-based annotation frameworks with limited information and diversity, our system provides in-depth understandings of speech style through tailored natural language descriptions, thereby enabling accurate and voluminous data generation for large model training. With this system, we create SpeechCraft 1 , a fine-grained bilingual expressive speech dataset. It is distinguished by highly descriptive natural language style prompts, containing approximately 2,000 hours of audio data and encompassing over two million speech clips. Extensive experiments demonstrate that the proposed dataset significantly boosts speech-language task performance in stylist speech synthesis and speech style understanding.
1. Introduction
FSNR0 footnotemark: 3 , ) | NLSpeech footnotemark: 4 , ) | PromptSpeech , ) | TextrolSpeech , ) | SpeechCraft (ours) |
---|---|---|---|---|
Seem sad | The tone of the shock question revealed the sad feelings. | A distressful male sound appeared in low volume | A heartbroken woman’s voice, almost a murmur, is high-pitched. | Reflecting on a topic in the fields of Health and Fitness, a sad youth with low pitch and normal volume states, ”Well, you know, life is holistic, Dave.” She speaks at a fast pace, signifying her sadness. |
In a hurry | His voice grew more agitated, and his tone revealed an urge and urgency. | Men , low tone, said loudly and quickly | Speaking at a fast pace, the pleasing male sustains a regular pitch and energy. | Engaging in a conversation about portraits, a natural youth female with high pitch and normal volume speaks swiftly, describing:”All his portraits seem to proclaim what a gentleman he is, and how he fascinates women!”, intensifying the articulation of ”fascinates”. |
The FSNR0 (Kim et al . , 2021 ) style tags are the officially translated version from Korean. 4 4 footnotemark: 4 The NLSpeech (Yang et al . , 2023 ) style prompts are the officially translated version from Chinese.
The success of multi-modal learning (Xu et al . , 2023 ) has boosted a swift resurgence in the development of speech-language models over recent years, encompassing improvements in speech synthesis and automated audio captioning. Large-scale text-to-speech (TTS) models (e.g., VALL-E (Wang et al . , 2023 ) , Natural Speech 2 (Shen et al . , 2023 ) ) and audio-to-text (ATT) models (e.g., SALMONN (Tang et al . , 2023 ) and Qwen (Bai et al . , 2023 ) ) not only excel in traditional tasks through a zero-shot fashion but also exhibit emergent behaviors. The utilization of vast quantities of high-quality labeled data in training plays a crucial role in facilitating these advancements (Zhou et al . , 2017 ) . However, existing research mainly focused on fundamental audio characteristics, e.g., producing intelligible speech (Ren et al . , 2020 ; Kong et al . , 2023 ; Shen et al . , 2018 ) and classifying broad sound event (Kumar and Raj, 2016 ; Chan and Chin, 2020 ) . In contrast, nuanced audio interpretation that delves into the finer details of speech, particularly the speaking style, remains less explored.
The style of speech encompasses not only prosody but also the speaker’s identity, emotional undertones, contextual cues, and scenes related to the topic within an audio clip (Vyas et al . , 2023 ) . Current TTS systems lack the necessary flexibility for precise and disentangled control over speech style. Meanwhile, current audio captioning systems struggle to capture the finer nuances besides rough detection of ‘ a man is talking while a dog is barking ’.
Nevertheless, few open-source datasets provide extensive details on vocal characteristics and nuanced descriptions (Ji et al . , 2024 ) . The limited scale of existing fine-grained datasets significantly impedes speech-language style research. Consequently, there is an urgent demand for data that characterizes rich and detailed vocal information with natural language, both for expressive speech language understanding (SLU) and controllable speech synthesis .
It is widely acknowledged that human annotation datasets are typically costly, time-consuming, and limited in scope. To tackle the trade-off between large-scale data collection and high-quality annotation, we develop an automatic speech annotation system for expressiveness understanding , which conducts an exhaustive analysis of unlabeled audio across various dimensions and generates customized natural human language descriptions. The system incorporates expert classifiers and sophisticated captioning models to determine multiple speech attributes. Notably, for the first time, we not only take into consideration the basic speaking properties such as gender, emotion and pitch, but also pay attention to the detailed prosodic characteristics including word emphasis and topic information. Leveraging the extraordinary abilities of LLMs in language comprehension and generation, we employed a fine-tuned LLaMA 2 (Touvron et al . , 2023 ) to integrate attributes into comprehensive and stylistic descriptions. The produced descriptions are tailored for each audio piece, as opposed to previous works that employ predefined templates to fill blanks with properties. The customization significantly enhances the diversity and nuances of the descriptions, aligning them with the unique characteristics of audio clips.
The proposed annotation system can encompass the most fine-grained attributes and the most diverse natural language descriptions available. Considering English and Chinese are the two most widely used languages globally, we applied the annotation system to four popular bilingual speech datasets, including AISHELL-3 (Shi et al . , 2020 ) , Zhvoice 1 1 1 https://github.com/fighting41love/zhvoice , LibriTTS-R (Koizumi et al . , 2023 ) , GigaSpeech-m (Chen et al . , 2021 ) . This effort resulted in the creation of the largest open-source expressive speech dataset, named SpeechCraft , which comprises over 2,000 hours of audio data and more than two million speech clips. Examples as shown in Tab. 1 . Experiments in speech-related tasks show that SpeechCraft dataset significantly contributes to the advancement of speech-language multi-modal learning in both TTS and speech-to-text (SST) domains. It enhances the performance of expressive speech synthesis, enables precise control over speech emphasis through natural language, and equips automated captioning systems with a broader context understanding capability to describe detailed speaking styles beyond mere speech event detection.
In summary, our contributions are threefold:
We proposed an automatic speech annotation system that employs all-encompassing speech interpretation methods and a fine-tuned language model to cultivate highly descriptive comprehension of speech expressiveness.
We proposed an open-source, large-scale bilingual dataset available for advanced speech-language learning with fine-grained and expressive descriptions of speech, named SpeechCraft .
Leveraging the vast potential of SpeechCraft , we accomplished controllable speech synthesis with precise emphasis control, and automated captioning with detailed descriptions of acoustic properties and speaker identity for the first time.
2. Related Works
Dataset | Size of Dataset | Property of Dataset | |||||||
---|---|---|---|---|---|---|---|---|---|
#Duration | #Clips | #Speakers | #Labels | Language | Audio Source | Description Form | Open Source | ||
FSNR0 , ) | 26h | 19k | 1 | 1 | KO | Internal dataset | Style tag | ✓ | |
NLSpeech , ) | 44h | - | 7 | 2 | ZH | Internal dataset | Human annotation | ✗ | |
PromptSpeech , ) | - | 28k | - | 5 | EN | AUD, TTS synthesized | Human annotation + LM rewrite | footnotemark: 1 ✓ footnotemark: 6 | |
PromptTTS 2 , ) | - | 20k | - | 4 | EN | AUD | LLM template | ✗ | |
TextrolSpeech , ) | 330h | 236k | 1,324 | 5 | EN | AUD, Emotional dataset | LLM template | ✓ | |
Audiobox , ) | ¿500h | - | - | 8 | EN | Internal dataset | Human annotation + LLM rewrite | ✗ | |
SpeechCraft (ours) | 2,391h | 2,250k | ¿3,200 | 8 | EN + ZH | AUD, YOU, POD, Smart Agent | LLM customization for each piece | footnotemark: 1 ✓ |
Approximately 85% of the corpus in PromptSpeech (Guo et al . , 2023 ) was not released.
Content and style are two aspects of vital importance in speech audio formation. Numerous speech corpora have been released, such as LibriVox-based corpus (Kearns, 2014 ) ; however, datasets annotated with speech styles are limited. Besides, existing datasets typically describe the style of speech using tags or templates. Such annotations may be insufficient in diversity and richness for training large-scale speech-related models.
In this section, we review existing stylistic speech datasets and related works on audio captioning, which is highly relevant to speech-style captioning as discussed in Sec. 5.3 .
2.1. Tag-based Speech Datasets
Speech style control starts from the usage of speaker ID tags in traditional speech language datasets (Ardila et al . , 2019 ; Kearns, 2014 ) , which intrigued voice cloning and one-shot TTS. Subsequently, emotional speech datasets and multi-modal datasets, such as TESS (Dupuis and Pichora-Fuller, 2010 ) , SAVEE (Vlasenko et al . , 2007 ) , IEMOCAP (Busso et al . , 2008 ) , MEAD (Wang et al . , 2020 ) , etc., flourish the field of emotional speech synthesis and speech emotion recognition (SER). However, emotion is usually defined as a classification task with different categories by datasets. The lack of an acknowledged definition in emotion classification indicates that classifying emotion in single-word categories is not enough to represent emotion nuances. Moreover, the existing emotional data used for speech synthesis are mostly recorded in an acting style, which are usually far from daily speech.
2.2. Natural Language Stylistic Datasets
Speech datasets with natural language style prompts extend the formation of emotional tags to better capture the emotion in speech. As the pioneer in text prompt speech synthesis, InstructTTS (Yang et al . , 2023 ) recruited human annotators to describe speech emotion from three levels. Researchers then focused on increasing the variety of style factors and the diversity in style prompt descriptions to elaborate speech style. As human annotation is always costly and size-limited, LLMs drive rapid development. PromptTTS (Leng et al . , 2023 ) employed five style factors and adopted SimBERT (Su, 2020 ) to generate more style prompt templates with similar semantics. PromptTTS 2 (Leng et al . , 2023 ) further promoted a prompt generation pipeline with an SLU part and a LLM part to compose high-quality text prompts. It developed diversity in vocabulary format and reused ChatGPT templates for utterances with the same labels. MM-TTS (Guan et al . , 2024 ) and TextrolSpeech (Ji et al . , 2024 ) adopted ChatGPT in generating various prompt templates. Notably, TextrolSpeech is so far the largest open-source stylistic speech corpus. It collected and curated a series of existing emotion datasets, and involved traditional TTS datasets as neutral emotion utterances. Comparison between stylistic speech datasets is shown in Tab. 2 .
However, the concrete categories of each style property limit the summation of total style permutation, since the templates do not provide additional speech style information. Taking TextrolSpeech as an example, descriptions are derived from five style factors including gender, pitch, speaking speed, volume, and emotion. The emotion factor has eight options while other factors have two to three options each, a total of 432 combinations. Similarly, PromptTTS 2 has 54 combinations and MM-TTS provided 48 combinations. As a result, two different audio utterances with the same labels and templates would become totally the same in after the prompt programming. The key barrier is that the descriptions are created based on LLM’s capability given barely the text attribute labels instead of real audio samples, thus LLM could not provide unique annotations for each speech segment.
Another highly descriptive style dataset is Audiobox (Vyas et al . , 2023 ) . It leveraged all kinds of miscellaneous details with human annotation and a quality assurance rating system to gather better alignment towards human hearing perception. Yet, the data was unavailable and the method is by no means universally applicable. Consequently, there is still an urgent need to develop an automatic method that transcends the template-based description generation approach, achieving tailored style descriptions for individual audio pieces.
2.3. Auto-captioning from Audio to Speech
Audio or speech captioning refers to the task of generating descriptive text that describes the sounds, speech, and other contextual information of audio clips. It can bridge the gap between auditory content and natural language, paving the way for deeper semantic connections in a variety of advanced audio related multimodal tasks (Sun et al . , 2024 ; Wang et al . , 2024 ; Jin et al . , 2023 ) .
Large-scale audio captioning datasets (Kim et al . , 2019 ; Drossos et al . , 2020 ; Wu et al . , 2023 ; Mei et al . , 2023 ) enable the development of automated audio captioning (AAC) models to understand complex auditory scenes. AudioClip (Guzhov et al . , 2022 ) and CLAP (Radford et al . , 2021 ) employed contrastive learning paradigm to learn acoustic concepts from natural language supervision. The fellow AAC models surpassed traditional downstream audio tasks (Koepke et al . , 2023 ; Chan and Chin, 2020 ; Kim et al . , 2019 ) .
As to speech captioning, AAC with natural language supervision casts light on captioning with speech emotion description. Despite the lack of large-scale speech description data, SECap (Xu et al . , 2024 ) proposed a speech emotion captioning framework based on a small-scale human-annotated internal dataset. It further employed the Q-former strategy to better disentangle the emotion-related speech information from the general semantic features. We made a good application of SECap in our automatic speech annotation system to capture unlabeled speech data with detailed and unique descriptions in emotional tone. It provides us with partial stylistic information which enables LLMs to directly interpret from authentic audio features. Regrettably, to the best of our knowledge, current speech interpretation models fall short of addressing any stylistic dimensions beyond emotion in fine-grained natural language captions. Furthermore, there is an absence of a speech captioning model capable of describing the full spectrum of speech style within a complete sentence.
3. Descriptive Speech Interpretation
3.1. overview of the annotation system.
We propose an automatic speech annotation system for expressiveness interpretation. It contains a three-stage data processing pipeline: data preparation for multiple sourced raw speech segments, property extraction with an all-aspect SLU framework, and customized rewriting with a fine-tuned LLM. The system can equip in-the-wild speech with detailed and diverse descriptions.
3.2. Data Preparation
Multiple sourced raw audio varied in data quality and the form of original metadata. To reform the data with enhanced format, we first conduct data preprocessing to improve data quality, prepare data transcription, and establish standard metadata (metadata example in supplementary materials and GitHub repository). All the speech segments, if not sourced from professional audiobooks, are fed into the speech enhancement system for audio quality improvement. Parallel to audio enhancement, the content of speech audio is transcribed using Whisper Large-v3 (Radford et al . , 2022 ) if not provided. Other sundry items available in the original audio information such as title, raw descriptions from the data uploader, and video category tags from the website, are mutually transferred by a language model to summarize the topic of the speech utterance.
3.3. Speech Style Recognition
The workflow of the speech style recognition is described as Fig. 1 . The speech is processed through various audio feature extraction models for characterizing speech in terms of its style properties. The output labels consist of pitch, energy, speed, age, gender, emotion description, and word emphasis, as illustrated in Fig. 1 .
Signal Processing Tools. We utilize traditional signal processing tools to analyze audio signals and further predict acoustic properties such as pitch, energy, and speed. Speed and energy labels are categorized three-fold. As to the pitch label, following the precedent standard of Audiobox (Vyas et al . , 2023 ) , we obey the common sense that female tends to have a higher pitch than male, setting categories of pitch by gender.
Speaker Information Identification. With the rapid development of large-scale audio representative learning methods, the high-level speaking features are well-detected by the hidden layers of powerful audio encoders. The pre-trained large-scale audio foundation models outperformed all kinds of downstream tasks compared to the respective task-specific models, including speaker features recognition and classification. Wav2vec 2.0 (Baevski et al . , 2020 ) , attached with some additional linear layers, are fine-tuned for identifying speaker information like gender and age.
Emotion Caption. Emotional tone is the fundamental key to style in speech. It is important to preserve the nuances of emotional tone in the original audio to the fullest extent possible. The audio utterances from the audiobooks are primarily storytelling narration with minimal emotion. In line with TextrolSpeech, we set their emotional tones to be ‘neutral’. In the case of other emotion caption options, we take advantage of the most advanced emotion recognition technologies according to languages. As to English audio data, we adopt a pre-trained speech emotion representation model, Emotion2vec (Ma et al . , 2023 ) . It provides convincing nine-class emotion recognition results and achieves SOTA on SER tasks. For Chinese audio data, we adopt the speech emotion captioning model SECap (Xu et al . , 2024 ) . It captures the nuances of emotional cues, including intensity and fluctuations, through short sentences rather than predefined single words. The customization of emotional tune makes the caption of each audio piece unique from others. The content serves as the textual basis for the final speech expressiveness description.
Word Emphasis Detection. Word emphasis plays a crucial role in speech expressiveness, conveying particular attitudes beyond the mere lexical content of what is spoken. Emphasis typically manifests as the strategic accentuation of certain words within a sentence. Therefore, the minimum unit for emphasis detection is set to be words in Chinese and English. Inspired by the lexical stress detection 2 2 2 https://github.com/LexicalStressDetection/lexical-stress-detection in isolated English characters, we consider both the spectral and non-spectral features to hierarchically model the acoustic information. We model the spectral features with a residual convolutional neural network and non-spectral features with a deep neural network respectively. Details of the model implementation can be found in supplementary materials. The emphasis of sentence is the word predicted with top 1 probability.
3.4. Rewriting via LLMs
Capitalizing on the exceptional annotation capabilities of LLMs, we employed an expertise LLaMA 2 3 3 3 Due to the original LLaMA’s limited proficiency in Chinese, we adopted an alternate version of LLaMA (Baichuan2-7B-Base (Yang and et al, 2023 ) ) trained on bilingual corpus. to transfer the group of attribute contents to natural language description for speech expressiveness. It is worth noting that we do not provide any structured formats for the description in advance to fill in the blanks as PromptTTS 2 does, but put emphasis on the richness of vocabulary and the accuracy in conveying the meaning of labels. To regularize LLaMA 2 to create promising results, we concentrated on detecting illegality and improving diversity during the fine-tuning progress. LLM may distort or omit content in the input that renders the output unusable, such as excluding certain labels or slightly altering the transcript. Irrelevant hallucination and contextual continuation between the multiple inputs also needs to be prevented. Therefore, we conducted thorough verification to abandon the low-quality generation. To better cultivate diversity and reduce the rough connection of labels instead of generating coherent sentences, three types of data enhancement methods were conducted, including order rearrangement of input attributes, expression synonym substitution, and multiple rounds of description translation. GPT-4 Turbo (OpenAI, 2024 ) is used to undertake a primary proportion of data and the fine-tuned LLaMA 2 undertakes the main role of rewriting.
Remarkably, we aimed to generate two versions of speech prompts to make the data more widely applicable. The speech description (denoted as the Description version) contains all available attributes regardless of the transcript. Besides, we involved speech transcript as an extra attribute to form a so-called speech instruction (denoted as the Instruction version). The primary motivation for involving transcripts in the text prompt can be described as the convenience for unified control tendency in the future development of speech interpretation.
Unified control of style and content. Both style and transcript are significant in achieving unified control formation of speech audio in text speech interaction.
Unified control of global and detailed style information. Previous models process transcript and description through two channels respectively, resulting in difficulty to model the fine-grained instruction among different parts of transcript. With the transcript contained in the description, it would be easier to model the global style, additionally, fine-grained instruction.
Unified control of speech and audio. The unified construction form can be easily expanded from speech instruction to audio instruction datasets in the future, describing the overall scenario of sound events, speech content, and scene atmosphere.
4. SpeechCraft Dataset
Deploying the annotation system on public speech datasets, here we introduce SpeechCraft , a bilingual dataset for fine-grained and expressive descriptions of speech. It is the largest open-sourced text description dataset in terms of both data scale and number of properties to characterize style. SpeechCraft encompasses a total of 2,108,710 speech descriptions for approximately 1,000 hours of audio data per language. Due to the absence of public data with emphasis labels, we propose a method to generate speech with stress pronunciation on word emphasis with paired description to cater to word-level fine-grained style control. Furthermore, we conduct experiments to test the effectiveness of components within the data construction process in this section.
4.1. Data Sources
To facilitate further research in speech-language learning, we have implemented an annotation system for large-scale speech datasets, including precise attribute labeling and the crafting of expressive portrayals. Considering a comprehensive set of factors such as dataset audio quality, the number and distribution of speakers, and the richness of emotional tones, we have selected the Chinese AISHELL-3 and Zhvoice, along with the English GigasSpeech-m and LibriTTS-R, as our foundational datasets. Word clouds illustrating these datasets are presented in Fig. 2 . Detailed implementations of these four datasets are provided in the supplementary materials.
Notably, given the high-quality of corpus such as AISHELL-3, which explicitly marks various speaker attributes (gender, age group, native accents), some functionalities of the system were omitted in the actual construction of SpeechCraft , adapting to local conditions.
4.2. Fine-grained Emphasis Speech Dataset
TTS Backbone with Disentangled Feature Control. Word emphasis is typically achieved through a combination of pitch variation, volume increase, elongation of sounds, and strategic pauses. These vocal cues work together to draw attention to the emphasized words. To better simulate the principles behind the generation of emphasis, we employed FastSpeech 2 (Ren et al . , 2020 ) as the backbone due to its ability to generate high-quality speech with disentangled control over phoneme-level acoustic properties, including pitch, energy, and duration. By adjusting the predictions of these acoustic features, we can achieve increased volume, higher pitch, and prolonged sounds on the designed words. We tested a mix of energy, pitch, and duration scaling factors to pinpoint the optimal combination that aligns with human perception.
Emphasis Speech Generation. Regarding the decision on emphasized words, we primarily assume that the keywords of a sentence are the most reasonable candidates for emphasis. Thus, we conducted keyword extraction from the transcripts of speech datasets. The FastSpeech 2 model was pre-trained on AISHELL-3 and LibriTTS-R for the purpose of regenerating both datasets with keyword emphasis. Ultimately, we obtained 63,000 emphasized audio clips from AISHELL-3 and 75,000 from LibriTTS. A detailed implementation of emphasis speech generation is illustrated in the supplementary materials.
4.3. Validation of the Annotation System
The overall annotation system works by integrating detailed audio analysis with language model rewriting to create descriptions that can capture the nuances of speech expressiveness automatically. As a result, it is important to validate the accuracy of detailed attributes and the performance of the fine-tuned LLM in overall rewriting.
Initially, we conduct an evaluation of the attribute predictors in style recognition using human-labeled data. The Wav2vec 2.0 (Baevski et al . , 2020 ) based age and gender classification model achieved precisions of 97.72% and 87.7% respectively on the AISHELL 3 dataset, which provides authentic speaker information. The officially released fine-tuned version of Emotion2vec (Ma et al . , 2023 ) model for speech emotion recognition task outperformed other SERs with an accuracy of 84% on the internal English emotion dataset. To evaluate the performance of SECap (Xu et al . , 2024 ) , which describes speech emotion with short sentences, we employed ChatGPT to summarize the main emotional tendency of the captioned sentence within the range of single-word emotions. The results indicated that the accuracy of the summary of SECap captions is 70.45% on a twelve-class internal Chinese emotion dataset.
Subsequently, we implement a series of assessments on the annotations of the fine-tuned LLaMA 2 with multiple dimensions to evaluate the effect of rewriting. We take the descriptions produced by GPT-3.5 Turbo (Brown et al . , 2020 ) and TextrolSpeech as baselines. The accuracy and completeness in preserving given labels reflect the fidelity of the language model in preserving authentic information through the rewriting process. As shown in Tab. 3 , the LLaMA 2 with instructional fine-tuning on data generated by GPT 4.0 had competitive results with GPT-3.5 Turbo (Brown et al . , 2020 ) . The overall error rates of the fine-tuned LLaMA was the lowest among three types of descriptions, indicating less omission or distortion throughout the transformation process. It thereby guaranteed precise semantics embedded within a broader range of intricate attributes. The distribution of sentence length in descriptions indirectly indicates that our longer sentences possess the potential to encapsulate a greater depth of detail, as shown in Fig. 3 . Another interesting statistical discovery concerns the position of spoken transcript among the speech instruction annotation . The transcript exhibits probabilities of 5.55%, 33.05%, and 61.40% for occurring at the beginning, middle, and end of a sentence, respectively, showcasing syntactic diversity.
Prompt | TextrolSpeech | GPT-3.5 Turbo | Fintuned LLaMA 2 | |||
---|---|---|---|---|---|---|
EN | ZH | EN | ZH | |||
Omission | 14.80% | 4.04% | 1.95% | 3.88% | ||
Distortion | 02.10% | 6.10% | 7.50% | 6.14% | ||
\cdashline2-2 \cdashline4-4 \cdashline6-7 MOS | 3.58 | 3.84 | 4.02 |
Dataset | Language | #Duration | #Clips |
---|---|---|---|
SpeechCraft | EN + ZH | 2,381.54h | 2,249,579 |
\hdashline LibriTTS-R footnotemark: 2 | EN | 697.66h | 427,919 |
GigaSpeech-m | EN | 739.91h | 670,070 |
AISHELL-3 footnotemark: 2 | ZH | 114.29h | 126,520 |
Zhvoice | ZH | 799.68h | 1,025,070 |
Statistics contain the original version and regeneratation with emphasis.
Method | Dataset | TTS Quality | Acc on Style Factors | MOS | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
MCD | SECS | Gender | Age footnotemark: 1 | Pitch | Speed | Energy | Emotion | Mean_Acc | ||||
- | GroundTruth | - | - | 100 | 100 | 82.03 | 90.52 | 80.39 | 100 | 92.16 | - | |
\cdashline 1-13Salle | TextrolSpeech | 15.26 | 56.10 | 78.16 | 47.78 | 49.05 | 56.91 | 51.27 | 53.48 | 56.11 | 2.12 | |
Ours (Des) | 12.87 | 60.90 | 94.30 | 78.48 | 60.76 | 62.97 | 61.71 | 59.30 | 69.59 | 4.23 | ||
\cdashline 1-13 ParlerTTS | TextrolSpeech | 21.94 | 54.80 | 87.14 | 61.74 | 55.81 | 58.80 | 63.12 | 66.11 | 75.62 | 3.52 | |
Ours (Des) | 13.22 | 61.70 | 92.60 | 87.46 | 65.92 | 71.70 | 83.60 | 81.99 | 80.54 | 4.56 | ||
Ours (Ins) | 16.98 | 60.50 | 94.02 | 85.21 | 68.77 | 72.35 | 83.92 | 79.10 | 80.56 | 4.43 |
TextrolSpeech dataset doesn’t contain age label.
Finally, we conducted a mutual experiment to evaluate both the quality of the regenerated emphasis data and the effectiveness of the proposed emphasis detection model. Initially, we trained models using the proposed regeneration of AISHELL-3 and LibriTTS-R datasets respectively. The AISHELL-3-stressed achieved an accuracy of 88.55% on test set, while the LibriTTS-R-stressed achieves an accuracy of 85.60%. Additionally, the emphasis experiment on an internal dataset, with human annotation on word emphasis, is provided in supplementary materials, further demonstrating the effectiveness of our approach in modeling real-life stress patterns.
4.4. Data Analysis
The SpeechCraft dataset is distributed evenly across both Chinese and English datasets, encompassing over 2,000,000 audio clips annotated with speech Descriptions and speech Instructions . The detailed information of the modified data in SpeechCraft that sourced from public speech datasets are listed in Tab. 4 .
Distribution of gender and age are shown in Fig. 4 . The gender distribution is nearly balanced with a slight variation among different age groups. Most ages are distributed as Teenager , Young Adult , and Middle-aged , indicating a focus on individuals likely within the most active stages of life. English part of SpeechCraft contains 36.1% emotional data mostly regarded as Happy , Sad , and Angry . The quantities of clips expressing Surprised , Disgusted , and Fearful are 5,626, 4,038, and 3,223, respectively, exceeding the scale of existing datasets. However, their proportions remain low in the context of the vast total amount of data. The unbalanced distribution of emotions resulting from in-the-wild data also indicates the frequency of real-life emotion tendency outside datasets.
5. Boost Performance via SpeechCraft
To assess the impact of the proposed SpeechCraft dataset, we conduct comprehensive experiments across various speech-language multi-modal learning tasks, including expressive speech synthesis, fine-grained emphasis control in TTS systems, and automated speech style captioning.
5.1. Expressive Speech Synthesis
The expressive speech synthesis task aims to generate high-quality speech audio under the intended speaking style in a seamless manner. Typically, the task employs a natural language description prompt as input to modulate the expressiveness of style. To validate the effectiveness of SpeechCraft in replicating the intended expressiveness, we reproduce two text prompt TTS models, Salle and ParlerTTS (Lyth and King, 2024 ) , and conduct training on both the TextrolSpeech dataset and the proposed SpeechCraft dataset for comparative analysis. Both Salle and ParlerTTS facilitate speech synthesis task by conditional codec language modeling with residual vector quantization (Défossez et al . , 2022 ) (RVQ) as audio representations, but mainly differs in their methods of autoregressive token generation.
As the TextrolSpeech dataset does not contain transcripts within its descriptions, we perform rigorous comparison experiments on the Description version of SpeechCraft . We strictly follow the official guidelines, training each model 600,000 steps on Salle and 50,000 steps on ParlerTTS. The evaluation was conducted across three key dimensions: the recall accuracy of the style factors, audio quality, and user study. The testset is consist of 316 randomly sampled audio clips from GigaSpeech-s TTS corpus, embodying a diverse array of all attribute dimensions. We used the speech annotation pipeline in Sec. 3.3 to characterize the groundtruth and synthesized speech. Attributes recall accuracy was calculated by comparing the two versions of style labels. Traditional objective evaluation metrics, namely Speaker Encoder Cosine Similarity (SECS (Casanova et al . , 2021 ) ) and Mel-Cepstral Distortion (MCD), were further utilized to assess the similarity of speaker identity and MFCC features between synthesized and original speech.
As illustrated in Tab. 5 , the substantial potential utility of large scale data is evidenced by the English subset of SpeechCraft Description outperforming TextrolSpeech from all aspects and the mean accuracy with ParlerTTS reached 80%. Notably, the labels of pitch, energy and speed are classified based on a relative percentage borderline within the testset domain.
5.2. Fine-grained Speech Emphasis Control
SECap | Captioning trained on SpeechCraft |
---|---|
Felt happiness and joy. | A young woman, voice high, pace swift, revealed joy and delight in her emotion. |
\hdashline Appears to be very skillful. | A young gentleman, with an elevated pitch and rapid speed, articulated in anger. |
\hdashline The voice was full of curiosity, and the tone carried a careful anticipation. | A young female, with a high-pitched voice and a moderate pace, spoke with an air of confusion and misunderstanding. |
\hdashline Suspicious and puzzled about something. | A young female’s tone was high-pitched and the pace was moderate, speaking with a sense of doubt. |
Lan | Version | R@1 | R@2 | MOS | |
---|---|---|---|---|---|
EN | GT | 91.17 | 62.15 | 62.58 | 3.16 |
Des | 76.55 | 59.14 | 69.89 | 2.70 | |
Ins | 88.53 | 87.77 | 90.96 | 3.98 | |
\hdashlineZH | GT | 86.97 | 63.60 | 64.25 | 3.79 |
Des | 64.83 | 89.31 | 91.60 | 2.84 | |
Ins | 84.02 | 94.06 | 95.43 | 4.05 |
Utilizing synthesized emphasis data with paired fine-grained style instructions, we explore the potential applications of speech emphasis control by fine-tuning the expressive speech synthesis model. To assess the impact of incorporating transcript into the text description on fine-grained control capabilities like emphasis, we compare the emphasized speech effects between the Description version and the Instruction version of SpeechCraft .
We evaluate emphasis accuracy in the synthesized speech in English and Chinese respectively. According to the design of the emphasis detection model in Sec. 3.3 , emphasis is detected by the unit of words. Therefore, word-level accuracy ( Acc w subscript Acc 𝑤 \text{Acc}_{w} Acc start_POSTSUBSCRIPT italic_w end_POSTSUBSCRIPT ) denotes the nominal accuracy across all word pieces segmented from sentences. Sentence-level accuracy ( Acc s subscript Acc 𝑠 \text{Acc}_{s} Acc start_POSTSUBSCRIPT italic_s end_POSTSUBSCRIPT ) refers to the true accuracy of correctly predicting an emphasized word based on the complete sentence. Importantly, we include instructions without emphasis demands in the test set to evaluate the system’s reliability through precise emphasis control. Sentences without emphasis demands are considered correct only if no word is incorrectly identified as emphasized. As illustrated in Tab. 7 , the proposed Instruction version excels over the Description version across all metrics, achieving 95.43% accuracy in Chinese sentences and 90.96% in English. Furthermore, ablation experiments on ParlerTTS in Tab. 5 indicates that involving transcript does not decrease the performance of other global style factors. This demonstrates conclusively that our data, enriched with emphasis word instructions and specific features of stressed pronunciation, fuses the fine-grained speech emphasis control with outstanding effectiveness.
Case Study. We further conduct a case study using a series of same base instructions varied only in the words emphasized, as illustrated in Fig. 5 . The line of speech energy (green) shows a clear peak at the targeted words and aligns with the highest fundamental frequency (yellow) within the sentence. The distinct emphasis on the words highlights the flexibility and precision of our dataset’s fine-grained, style-controllable synthesis capabilities.
5.3. Automated Speech Style Captioning
Automated speech style captioning transcends emotion captioning by providing comprehensive descriptions that encompass not only the emotional tone but also stylistic nuances such as acoustic properties and speaker identity. Owing to the nascent stage of speech style captioning development, we replicate the state-of-the-art automated emotion captioning model SECap (refer to Sec. 2.3 ), and retrain it on the Description version of SpeechCraft . Utilizing the semantic features extracted by the pre-trained audio encoder within SECap, the model achieves a remarkably coherent interpretation of the overall speech style to a significant degree. For the first time, it was capable of capturing a descriptive sentence that included acoustic properties, speaker identity, and emotional tone. This accomplishment marks a substantial advancement in the nuanced articulation of speech characteristics. Some of the cases are documented in Tab. 6 .
We conduct a user study to evaluate the detail and accuracy of the descriptions in capturing the audio style. Although our model marginally outperforms the original SECap (3.79 vs 3.58), there is consensus that speech style captioning, while capturing a broader range of audio characteristics, does so in a less expressive manner compared to SECap. SECap deals with nuanced emotional variations more explicitly, highlighting the need for further research into the trade-offs involved in fine-grained speech style captioning regarding the scope and detail of dimensions.
6. Conclusion
In this work, we proposed an automatic speech annotation system for expressiveness interpretation, which adopted refined speech style recognition with LLMs rewriting to form detailed and customized speech descriptions. Furthermore, we created SpeechCraft , the largest open-source expressive bilingual speech dataset with natural language descriptions, which has great potential in large speech-language model training. Experiments showed that our dataset strongly enhances the performance of both text-to-speech and speech-to-text models. It boosts fine-grained style control such as word emphasis in expressive speech synthesis, and facilitates automated speech-style captioning in the broader field of speech comprehension and interaction technologies.
Acknowledgements.
- Ardila et al . (2019) Rosana Ardila, Megan Branson, Kelly Davis, Michael Henretty, Michael Kohler, Josh Meyer, Reuben Morais, Lindsay Saunders, Francis M Tyers, and Gregor Weber. 2019. Common voice: A massively-multilingual speech corpus. arXiv preprint arXiv:1912.06670 (2019).
- Baevski et al . (2020) Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, and Michael Auli. 2020. wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations. In Advances in Neural Information Processing Systems , Vol. 33. Curran Associates, Inc., 12449–12460. https://proceedings.neurips.cc/paper_files/paper/2020/file/92d1e1eb1cd6f9fba3227870bb6d7f07-Paper.pdf
- Bai et al . (2023) Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, and others. 2023. Qwen technical report. arXiv preprint arXiv:2309.16609 (2023).
- Brown et al . (2020) Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020. Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems , Vol. 33. Curran Associates, Inc., 1877–1901. https://proceedings.neurips.cc/paper_files/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf
- Busso et al . (2008) Carlos Busso, Murtaza Bulut, Chi-Chun Lee, Abe Kazemzadeh, Emily Mower, Samuel Kim, Jeannette N. Chang, Sungbok Lee, and Shrikanth S. Narayanan. 2008. IEMOCAP: interactive emotional dyadic motion capture database. Language Resources and Evaluation 42, 4 (Dec. 2008), 335–359. https://doi.org/10.1007/s10579-008-9076-6
- Casanova et al . (2021) Edresson Casanova, Christopher Shulby, Eren Gölge, Nicolas Michael Müller, Frederico Santos De Oliveira, Arnaldo Candido Junior, Anderson da Silva Soares, Sandra Maria Aluisio, and Moacir Antonelli Ponti. 2021. SC-GlowTTS: An efficient zero-shot multi-speaker text-to-speech model. arXiv preprint arXiv:2104.05557 (2021).
- Chan and Chin (2020) T. K. Chan and Cheng Siong Chin. 2020. A Comprehensive Review of Polyphonic Sound Event Detection. IEEE Access 8 (2020), 103339–103373. https://doi.org/10.1109/ACCESS.2020.2999388
- Chen et al . (2021) Guoguo Chen, Shuzhou Chai, Guanbo Wang, Jiayu Du, Wei-Qiang Zhang, Chao Weng, Dan Su, Daniel Povey, Jan Trmal, Junbo Zhang, and others. 2021. Gigaspeech: An evolving, multi-domain asr corpus with 10,000 hours of transcribed audio. arXiv preprint arXiv:2106.06909 (2021).
- Drossos et al . (2020) Konstantinos Drossos, Samuel Lipping, and Tuomas Virtanen. 2020. Clotho: an Audio Captioning Dataset. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . 736–740. https://doi.org/10.1109/ICASSP40776.2020.9052990
- Dupuis and Pichora-Fuller (2010) Kate Dupuis and M Kathleen Pichora-Fuller. 2010. Toronto emotional speech set (tess)-younger talker_happy. (2010). Publisher: Toronto: University of Toronto, Psychology Department, 2010..
- Défossez et al . (2022) Alexandre Défossez, Jade Copet, Gabriel Synnaeve, and Yossi Adi. 2022. High Fidelity Neural Audio Compression. arXiv preprint arXiv:2210.13438 (2022).
- Guan et al . (2024) Wenhao Guan, Yishuang Li, Tao Li, Hukai Huang, Feng Wang, Jiayan Lin, Lingyan Huang, Lin Li, and Qingyang Hong. 2024. MM-TTS: Multi-Modal Prompt Based Style Transfer for Expressive Text-to-Speech Synthesis. Proceedings of the AAAI Conference on Artificial Intelligence 38, 16 (March 2024), 18117–18125. https://doi.org/10.1609/aaai.v38i16.29769
- Guo et al . (2023) Zhifang Guo, Yichong Leng, Yihan Wu, Sheng Zhao, and Xu Tan. 2023. Prompttts: Controllable Text-To-Speech With Text Descriptions. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . 1–5. https://doi.org/10.1109/ICASSP49357.2023.10096285
- Guzhov et al . (2022) Andrey Guzhov, Federico Raue, Jörn Hees, and Andreas Dengel. 2022. Audioclip: Extending Clip to Image, Text and Audio. In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . 976–980. https://doi.org/10.1109/ICASSP43922.2022.9747631
- Ji et al . (2024) Shengpeng Ji, Jialong Zuo, Minghui Fang, Ziyue Jiang, Feiyang Chen, Xinyu Duan, Baoxing Huai, and Zhou Zhao. 2024. TextrolSpeech: A Text Style Control Speech Corpus with Codec Language Text-to-Speech Models. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . 10301–10305. https://doi.org/10.1109/ICASSP48485.2024.10445879
- Jin et al . (2023) Zeyu Jin, Zixuan Wang, Qixin Wang, Jia Jia, Ye Bai, Yi Zhao, Hao Li, and Xiaorui Wang. 2023. HoloSinger: Semantics and Music Driven Motion Generation with Octahedral Holographic Projection. In Proceedings of the 31st ACM International Conference on Multimedia . 9393–9395.
- Kearns (2014) Jodi Kearns. 2014. Librivox: Free public domain audiobooks. Reference Reviews 28, 1 (2014), 7–8. https://doi.org/10.1108/RR-08-2013-0197 Publisher: Emerald group publishing limited.
- Kim et al . (2019) Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, and Gunhee Kim. 2019. AudioCaps: Generating Captions for Audios in The Wild. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) . Association for Computational Linguistics, Minneapolis, Minnesota, 119–132. https://doi.org/10.18653/v1/N19-1011
- Kim et al . (2021) Minchan Kim, Sung Jun Cheon, Byoung Jin Choi, Jong Jin Kim, and Nam Soo Kim. 2021. Expressive text-to-speech using style tag. arXiv preprint arXiv:2104.00436 (2021).
- Koepke et al . (2023) A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques, Zeynep Akata, and Samuel Albanie. 2023. Audio Retrieval With Natural Language Queries: A Benchmark Study. IEEE Transactions on Multimedia 25 (2023), 2675–2685. https://doi.org/10.1109/TMM.2022.3149712
- Koizumi et al . (2023) Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Michiel Bacchiani, Yu Zhang, Wei Han, and Ankur Bapna. 2023. Libritts-r: A restored multi-speaker text-to-speech corpus. arXiv preprint arXiv:2305.18802 (2023).
- Kong et al . (2023) Jungil Kong, Jihoon Park, Beomjeong Kim, Jeongmin Kim, Dohee Kong, and Sangjin Kim. 2023. VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design. arXiv preprint arXiv:2307.16430 (2023).
- Kumar and Raj (2016) Anurag Kumar and Bhiksha Raj. 2016. Audio Event Detection using Weakly Labeled Data. In Proceedings of the 24th ACM International Conference on Multimedia (MM ’16) . Association for Computing Machinery, New York, NY, USA, 1038–1047. https://doi.org/10.1145/2964284.2964310 event-place: Amsterdam, The Netherlands.
- Leng et al . (2023) Yichong Leng, Zhifang Guo, Kai Shen, Xu Tan, Zeqian Ju, Yanqing Liu, Yufei Liu, Dongchao Yang, Leying Zhang, Kaitao Song, Lei He, Xiang-Yang Li, Sheng Zhao, Tao Qin, and Jiang Bian. 2023. PromptTTS 2: Describing and Generating Voices with Text Prompt. arXiv preprint arXiv:2309.02285 (2023).
- Lyth and King (2024) Dan Lyth and Simon King. 2024. Natural language guidance of high-fidelity text-to-speech with synthetic annotations. arXiv preprint arXiv:2402.01912 (2024).
- Ma et al . (2023) Ziyang Ma, Zhisheng Zheng, Jiaxin Ye, Jinchao Li, Zhifu Gao, Shiliang Zhang, and Xie Chen. 2023. emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation. arXiv preprint arXiv:2312.15185 (2023).
- Mei et al . (2023) Xinhao Mei, Chutong Meng, Haohe Liu, Qiuqiang Kong, Tom Ko, Chengqi Zhao, Mark D Plumbley, Yuexian Zou, and Wenwu Wang. 2023. Wavcaps: A chatgpt-assisted weakly-labelled audio captioning dataset for audio-language multimodal research. arXiv preprint arXiv:2303.17395 (2023).
- Mihalcea and Tarau (2004) Rada Mihalcea and Paul Tarau. 2004. Textrank: Bringing order into text. In Proceedings of the 2004 conference on empirical methods in natural language processing . 404–411.
- OpenAI (2024) OpenAI. 2024. GPT-4 Technical Report. arXiv preprint arXiv:2303.08774 (2024).
- Radford et al . (2021) Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. 2021. Learning Transferable Visual Models From Natural Language Supervision. In Proceedings of the 38th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 139) . PMLR, 8748–8763. https://proceedings.mlr.press/v139/radford21a.html
- Radford et al . (2022) Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever. 2022. Robust Speech Recognition via Large-Scale Weak Supervision. https://doi.org/10.48550/ARXIV.2212.04356
- Ren et al . (2020) Yi Ren, Chenxu Hu, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, and Tie-Yan Liu. 2020. Fastspeech 2: Fast and high-quality end-to-end text to speech. arXiv preprint arXiv:2006.04558 (2020).
- Shen et al . (2018) Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, Rj Skerrv-Ryan, Rif A. Saurous, Yannis Agiomvrgiannakis, and Yonghui Wu. 2018. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . 4779–4783. https://doi.org/10.1109/ICASSP.2018.8461368
- Shen et al . (2023) Kai Shen, Zeqian Ju, Xu Tan, Yanqing Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, and Jiang Bian. 2023. Naturalspeech 2: Latent diffusion models are natural and zero-shot speech and singing synthesizers. arXiv preprint arXiv:2304.09116 (2023).
- Shi et al . (2020) Yao Shi, Hui Bu, Xin Xu, Shaoji Zhang, and Ming Li. 2020. Aishell-3: A multi-speaker mandarin tts corpus and the baselines. arXiv preprint arXiv:2010.11567 (2020).
- Su (2020) Jianlin Su. 2020. SimBERT: Integrating Retrieval and Generation into BERT . Technical Report. https://github.com/ZhuiyiTechnology/simbert
- Sun et al . (2024) Guangzhi Sun, Wenyi Yu, Changli Tang, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, Yuxuan Wang, and Chao Zhang. 2024. video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models. arXiv preprint arXiv:2406.15704 (2024).
- Tang et al . (2023) Changli Tang, Wenyi Yu, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, and Chao Zhang. 2023. Salmonn: Towards generic hearing abilities for large language models. arXiv preprint arXiv:2310.13289 (2023).
- Touvron et al . (2023) Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, and others. 2023. Llama 2: Open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288 (2023).
- Vlasenko et al . (2007) Bogdan Vlasenko, Björn Schuller, Andreas Wendemuth, and Gerhard Rigoll. 2007. Combining frame and turn-level information for robust recognition of emotions within speech. In Proc. INTERSPEECH 2007, Antwerp, Belgium . https://doi.org/10.21437/Interspeech.2007-611
- Vrehuuvrek and Sojka (2010) Radim Vrehuuvrek and Petr Sojka. 2010. Software framework for topic modelling with large corpora. (2010).
- Vyas et al . (2023) Apoorv Vyas, Bowen Shi, Matthew Le, Andros Tjandra, Yi-Chiao Wu, Baishan Guo, Jiemin Zhang, Xinyue Zhang, Robert Adkins, William Ngan, and others. 2023. Audiobox: Unified audio generation with natural language prompts. arXiv preprint arXiv:2312.15821 (2023).
- Wang et al . (2023) Chengyi Wang, Sanyuan Chen, Yu Wu, Ziqiang Zhang, Long Zhou, Shujie Liu, Zhuo Chen, Yanqing Liu, Huaming Wang, Jinyu Li, and others. 2023. Neural codec language models are zero-shot text to speech synthesizers.(2023). arXiv preprint arXiv:2301.02111 (2023).
- Wang et al . (2020) Kaisiyuan Wang, Qianyi Wu, Linsen Song, Zhuoqian Yang, Wayne Wu, Chen Qian, Ran He, Yu Qiao, and Chen Change Loy. 2020. MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face Generation. In Computer Vision – ECCV 2020 . Springer International Publishing, Cham, 700–717.
- Wang et al . (2024) Zixuan Wang, Jia Jia, Shikun Sun, Haozhe Wu, Rong Han, Zhenyu Li, Di Tang, Jiaqing Zhou, and Jiebo Luo. 2024. DanceCamera3D: 3D Camera Movement Synthesis with Music and Dance. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 7892–7901.
- Wu et al . (2023) Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, and Shlomo Dubnov. 2023. Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . 1–5. https://doi.org/10.1109/ICASSP49357.2023.10095969
- Xu et al . (2023) Peng Xu, Xiatian Zhu, and David A. Clifton. 2023. Multimodal Learning With Transformers: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 45, 10 (2023), 12113–12132. https://doi.org/10.1109/TPAMI.2023.3275156
- Xu et al . (2024) Yaoxun Xu, Hangting Chen, Jianwei Yu, Qiaochu Huang, Zhiyong Wu, Shi-Xiong Zhang, Guangzhi Li, Yi Luo, and Rongzhi Gu. 2024. Secap: Speech emotion captioning with large language model. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 38. 19323–19331. Issue: 17.
- Yang and et al (2023) Aiyuan Yang and et al. 2023. Baichuan 2: Open Large-scale Language Models. arXiv preprint arXiv:2309.10305 (2023).
- Yang et al . (2023) Dongchao Yang, Songxiang Liu, Rongjie Huang, Chao Weng, and Helen Meng. 2023. Instructtts: Modelling expressive TTS in discrete latent space with natural language style prompt. arXiv preprint arXiv:2301.13662 (2023).
- Zen et al . (2019) Heiga Zen, Viet Dang, Rob Clark, Yu Zhang, Ron J Weiss, Ye Jia, Zhifeng Chen, and Yonghui Wu. 2019. Libritts: A corpus derived from librispeech for text-to-speech. arXiv preprint arXiv:1904.02882 (2019).
- Zhou et al . (2017) Lina Zhou, Shimei Pan, Jianwu Wang, and Athanasios V. Vasilakos. 2017. Machine learning on big data: Opportunities and challenges. Neurocomputing 237 (2017), 350–361. https://doi.org/10.1016/j.neucom.2017.01.026
Appendix A Details in Speech Annotation
A.1. example of metadata.
In Section 3.2 of the paper, we conduct data preprocessing to establish standard metadata before the whole annotation framework and further utilize the raw metadata to extract prior information of the audio clip such as the topic. An example of preprocessed metadata is shown as follows.
A.2. Label Categories
As described in Section 3.3, our proposed annotation system characterized speech in terms of various style properties including pitch, energy, speed, age, gender, emotion description, and word emphasis. The subset labels of each attribute are listed below.
Gender : Male, Female
Age : Child, Teenager, Youth adult, Middle-aged, Elderly
Pitch : low, normal, high
Speed : slow, normal, fast
Volume : low, normal, high
Emotion (English): Fearful, Happy, Disgusted, Sad, Surprised, Angry, Neutral
Appendix B SpeechCraft Data Sources
As illustrated in Section 4.1, we implemented the annotation system across large-scale bilingual speech datasets to conduct speech descriptions, resulting in the SpeechCraft dataset. The detailed information of the four open-source speech datasets is introduced as follows.
AISHELL-3 (Shi et al . , 2020 ) is a high-fidelity Mandarin speech corpus containing roughly 85 hours of recordings spoken by 218 speakers and a total of 88, 035 utterances.
Zhvoice 4 4 4 https://github.com/fighting41love/zhvoice corpus consists of eight open-source subdatasets, processed through noise reduction and quality enhancement, with approximately 3200 speakers, and 900 hours of audio, totally 1,032,940 utterances.
LibriTTS-R (Koizumi et al . , 2023 ) is a restored English TTS Corpus with 585 hours of speech from 2, 456 speakers. It is derived by applying speech restoration to the LibriTTS (Zen et al . , 2019 ) corpus with sound quality improved.
GigaSpeech (Chen et al . , 2021 ) is an evolving, multi-domain ASR Corpus collected from three different sources of data, including audiobook, podcast, and YouTube videos. It provides a wide range of choices on the dataset scale. The GigaSpeech-m is an officially recommended subset as a 1000-hour dataset for research experiments.
Appendix C Details in Emphasis Studies
C.1. emphasis regeneration.
As introduced in Section 4.2, we employed FastSpeech 2 (Ren et al . , 2020 ) as the backbone to regenerate the AISHELL-3 and LibriTTS-R datasets with keyword emphasized in each piece.
C.1.1. FastSpeech 2 Backbone Model.
FastSpeech 2 achieved modulation of phoneme-level characteristics with the key component of Variance Adaptor. It consists of three primary Predictors for energy, pitch and duration respectively. Adjusting the output of Predictors by scale, we can obtain loud volume, high pitch, and elongated sounds on the designed phoneme. The different combination of scaling factors determines various acoustic effects.
C.1.2. Keyword Extraction.
We used the TextRank (Mihalcea and Tarau, 2004 ) algorithm for Chinese content and Gensim (Vrehuuvrek and Sojka, 2010 ) for English to conduct keyword extraction. Words such as particles and proper nouns are overlooked as they are seldom stressed in conversational speech.
C.2. Emphasis Detection
We introduced a word-level emphasis detection model in Section 3.3. The detection model works by conducting forced alignment for each waveform to get the separate audio slice for a minimum word unit. As the emphasis is a relative concept that becomes significant only when compared to the surrounding words, we concatenate features of predecessor and successor to form the final representation for each audio unit in the neural network training.
C.3. Emphasis Evaluation on Real-Life Dataset
In Section 4.3, we demonstrated the accuracy of emphasis detection on the testset of the regenerated AISHELL-3-stressed and LibriTTS-R-stressed data. To further evaluate the effectiveness of our detection approach in modeling real-life stress patterns, we utilized an internal dataset with human annotation on word emphasis over 10, 000 audio utterances read by professional voice actors to test the the model’s generalization ability on real-world data. The emphasis detection models achieve 66.90% on word-level accuracy and 41.63% on sentence-level accuracy on the human-annotated dataset, which showcase the model’s promising ability to generalize on natural word emphasis. However, the limited accuracy may stem from the inherent complexity of real-world emphasizing effects, which are more nuanced and varied than the mixed feature adjustments in our data construction.
Appendix D Model Configuration in TTS Experiments
We adopted the Salle (Ji et al . , 2024 ) model to conduct Expressive Speech Synthesis in Section 5.1, which facilitate speech synthesis task by codec language modelling with RVQ (Défossez et al . , 2022 ) . RVQ is a method of high fidelity neural audio compression which features multi-layer discrete quantizers that can be reconstructed to high-quality waveforms by the pre-trained neural audio codec model.
Salle employed a hybrid approach combining an autoregressive style conditional codec model (AR) and a non-autoregressive TTS codec model (NAR). The AR model is employed to generate the first layer of RVQ, which encapsulates the fundamental speaking information. Conversely, the NAR model is reserved for the subsequent layers of quantizers that capture fine acoustic details. Text style prompt embedding is concatenated ahead of the phoneme text embedding, serving as the condition. The strategic embedding integration significantly enhances the expressive capacity and accuracy of the speech synthesis.
Appendix E LLM Prompt
The text prompt given to the LLM for label rewriting is as followed.
Given the pitch, volume, age, gender, tone, and text, use sentiment analysis techniques to describe in natural language what age, what gender of a person, with what kind of emotion and tone, using what kind of pitch and volume, spoke the words in the text.
Note: You must vividly describe the sentence’s intonation, pitch, tone, and emotion. All outputs must strictly avoid identical wording and sentence structure. There is no need to describe body language or psychological state, no need to emphasize specific words, and do not repeat the input content.
Refer to the format of the following four cases:
Example Input - Example Output
Now try to process the following sentences, directly output the converted sentences according to the examples without missing any labels.
IMAGES
COMMENTS
Especially if you are giving a speech in English as a non-native speaker. But you can learn from the best. You can watch videos of famous, effective speeches in English to learn how to do it the right way. In this post we will share 13 amazing speeches in English that you can use to become a more confident speaker yourself. Contents. 1.
Informative speech. Informative speeches aim to educate an audience on a particular topic or message. Unlike demonstrative speeches, they don't use visual aids. They do, however, use facts, data and statistics to help audiences grasp a concept. These facts and statistics help back any claims or assertions you make.
The Eight Parts of Speech. There are eight parts of speech in the English language: noun, pronoun, verb, adjective, adverb, preposition, conjunction, and interjection. The part of speech indicates how the word functions in meaning as well as grammatically within the sentence. An individual word can function as more than one part of speech when ...
To help you get started, we've found 5 famous speeches to help you learn English. 1. Steve Jobs: Stanford Commencement Speech. Steve Jobs was no doubt a great speaker. Millions around the globe were enchanted by the presentations that he gave for Apple as the company's CEO. However, he wasn't just known for speeches related to product ...
In this video, we'll walk you through how to write a speech by showing you the different structures you can use! Watch more of our video lessons at http://ww...
8 Parts of Speech Definitions and Examples: 1. Nouns are words that are used to name people, places, animals, ideas and things. Nouns can be classified into two main categories: Common nouns and Proper nouns. Common nouns are generic like ball, car, stick, etc., and proper nouns are more specific like Charles, The White House, The Sun, etc.
The podcast format that helps you improve your English language skills through the power of famous speeches. Each podcast features an iconic speech delivered...
Ethos refers to an appeal to your audience by establishing your authenticity and trustworthiness as a speaker. If you employ pathos, you appeal to your audience's emotions. Using logos includes the support of hard facts, statistics, and logical argumentation. The most effective speeches usually present a combination these rhetorical strategies.
The English language is the key to opening the door to the world. It is one of the most used languages in the world. The knowledge of the English language helps everyone to attain personal and professional growth. As a result, people all over the world have started to learn English as a second language.
Just like y is sometimes a vowel and sometimes a consonant, there are words that are sometimes one part of speech and other times another. Here are a few examples: "I went to work " (noun). "I work in the garden" (verb). "She paints very well " (adverb). "They are finally well now, after weeks of illness" (adjective).
These nine parts of speech are namely: Verbs, Nouns, Adjectives, Determiners, Adverbs, Pronouns, Prepositions, Conjunctions, and Interjections. Another additional classification is used as a part of speech, i.e., Articles, a subprogram of determiners. To comprehend the meaning and use of each word in the English language, it is essential to ...
What Is a Part of Speech? Before delving into the specifics, let's clarify what we mean by a "Part of speech." In English grammar, a part of speech is a category of main and a lot of words. These types of categories help us to understand how the words we use and Speak within the daily life Conversation. 8 Parts of Speech Are: Nouns; Verbs ...
Also known as word classes, these are the building blocks of grammar. Every sentence you write or speak in English includes words that fall into some of the nine parts of speech. These include nouns, pronouns, verbs, adjectives, adverbs, prepositions, conjunctions, articles/determiners, and interjections. (Some sources include only eight parts ...
A part of speech (also called a word class) is a category that describes the role a word plays in a sentence.Understanding the different parts of speech can help you analyze how words function in a sentence and improve your writing. The parts of speech are classified differently in different grammars, but most traditional grammars list eight parts of speech in English: nouns, pronouns, verbs ...
You need to look at each word in the context of a sentence in order to say what part of speech it is. The eight parts of speech are nouns, pronouns, adjectives, verbs, adverbs, conjunctions, prepositions, and interjections. You just learned about all of the parts of speech. Give yourself a high five!
The parts of speech refer to categories to which a word belongs. In English, there are eight of them : verbs , nouns, pronouns, adjectives, adverbs, prepositions, conjunctions, and interjections. Many English words fall into more than one part of speech category. Take the word light as an example.
The English language, with its vast vocabulary and intricate grammar rules, is built upon eight fundamental parts of speech. Understanding these parts of speech is crucial for effective communication, writing, and comprehension. From nouns to interjections, each part plays a unique role in constructing sentences and conveying meaning.
Each part of speech performs a specific job within a sentence and language as a whole. Identifying a word's part of speech allows readers and writers to understand how words function and create ...
Speech is how we say sounds and words. Speech includes: How we make speech sounds using the mouth, lips, and tongue. For example, we need to be able to say the "r" sound to say "rabbit" instead of "wabbit.". How we use our vocal folds and breath to make sounds. Our voice can be loud or soft or high- or low-pitched.
At English Speeches, we are dedicated to enhancing your English reading and listening skills in an enjoyable and meaningful way. ... Whether you're an English teacher, a student, or a language ...
2 Minute Speech on Importance of English Language "English is not just a language; it's a bridge to the world," says Wilfred Funk, a well-known lexicographer. Today, I want to explain why English is so important and how learning it can greatly benefit your life. English is a global language used for communication, education, and business.
JOB TITLE SPEECH/LANGUAGE PATHOLOGY ASSISTANT JOB DESCRIPTION Under general supervision, in a classroom setting or special learning center, a speech/language pathology assistant performs a variety of tasks as prescribed, directed, and supervised by an ASHA-Certified speech/language pathologist, such as, but not limited to activities designed to develop pre-language and language skills, oral ...
Abstract. Speech-language multi-modal learning presents a significant challenge due to the fine nuanced information inherent in speech styles. Therefore, a large-scale dataset providing elaborate comprehension of speech style is urgently needed to facilitate insightful interplay between speech audio and natural language.