speech on tamil language

• நாடாளுமன்ற தேர்தல்-2024

• மாநில செய்திகள்
• தேசிய செய்திகள்
• உலக செய்திகள்
• சிறப்புக் கட்டுரைகள்
• சினிமா செய்திகள்
• பிற விளையாட்டு
• ஐபிஎல்-2024
• இன்றைய பலன்
• வார ராசிபலன்
• தமிழ் மாத ராசிபலன்
• சுப முகூர்த்த நாட்கள்
• வாஸ்து நாட்கள்
• விரத நாட்கள்
• புகார் பெட்டி
• உலக கோப்பை கிரிக்கெட்
• கர்நாடகா தேர்தல்
• ராமர் கோவில் ஸ்பெஷல்
• மத்திய பட்ஜெட் - 2023
• 5 மாநில தேர்தல் முடிவுகள்
• டோக்கியோ ஒலிம்பிக்ஸ்
• ஐபிஎல் 2022
• உலக கோப்பை கால்பந்து - 2022
• ஆசிய விளையாட்டு

தமிழ்மொழியின் சிறப்பு

பழமையான மொழி, பண்பட்ட மொழி, நம் பைந்தமிழ் மொழி, தேனினும் இனியது நம் தீந்தமிழ் மொழி தமிழ் என்றால் எளிமை.

• Tamil language 
• special 
• தமிழ்மொழியின் 
• சிறப்பு 

மேலும் செய்திகள்

ஆசிரியரின் தேர்வுகள்..., அதிகம் வாசிக்கப்பட்டவை.

• சிறப்பு கட்டுரைகள்

"Daily Thanthi" a prestigious product from The Thanthi Trust

எங்களைப்பற்றி தனித்தன்மை பாதுகாப்பு தொடர்புகொள்ள வலைத்தள தொகுப்பு ஆலோசனைகள் வேலைவாய்ப்பு

Paper Ad Tariff Web Ad Tariff Terms & Conditions (E-paper)

'My chitthis': The significance of Sen. Kamala Harris' speaking Tamil on a national stage

In her vice presidential acceptance speech Wednesday night at the Democratic National Convention, Sen. Kamala Harris of California acknowledged her husband, her children, her sister, her nieces, her godchildren, her uncles and her "chitthis." And it's her use of the Tamil word for "aunts" that created an emotional stir on social media.

Many praised Harris' use of "chitthi," a term of endearment for a mother's younger sister, a paternal uncle's wife or a stepmom in the Tamil language. Harris' use of it as the first Black woman and the first Asian American on a major-party ticket marks a more significant moment for the diaspora, who see themselves reflected on a national political platform in an especially divisive climate.

"In stark contrast to the last four years of anti-immigrant rhetoric coming from the White House, hearing our families' mother tongue spoken by a future vice president of the United States is really a beautiful moment and symbol that Indian Americans are becoming a visible and recognized part of the fabric of America," said Neil Makhija, executive director of the Indian American Impact Fund, which was one of the first South Asian organizations to endorse Harris when she announced her presidential bid in 2019.

Harris' mother, Shyamala Gopalan, grew up in Tamil Nadu, a South Indian state, where Tamil is natively spoken. More than 300,000 people in the U.S. speak the language, with the highest concentrations in California, Texas and New Jersey, according to the census .

Sunil Sadasivan, deputy chief technology officer for Sen. Cory Booker's primary campaign, said he was both surprised and impressed to hear Harris address her chitthis in her speech. As a second-generation Indian immigrant whose parents are from Tamil Nadu and the southern state of Kerala, he has always straddled his hyphenated identities.

" I've got two chitthis of my own , so it was incredible to hear it. It brought to light the importance of this intersectionality of identities," he said. "I didn't see this side come out in the primary as much, but I did see it come out in her book ['The Truths We Hold: An American Journey'], and it's very powerful."

News How Sen. Harris' Indian heritage and pioneering mother propelled her

Tamilians, in general, are known to share close family bonds, and Harris reflected that in her speech. "I think her heartfelt acknowledgment showed respect and that it's a core part of her identity and who she is. I have two boys, 2 and 6 months old, and they get to see a part Indian VP nominee. It's barrier-breaking," Sadasivan said.

He said the word choice was also politically significant.

"For Kamala to address her roots was a powerful move," Sadasivan said. "I think she recognizes this is not a trivial voting bloc and it's something that can change the voting outcome in key districts of Pennsylvania, New Jersey and Texas, and she has to appeal to this critical bloc, but it also shows this is a core part of her identity."

According to AAPI Data , 54 percent of Asian American registered voters said in a recent poll that they are supporting Joe Biden. About 29 percent said they will vote for President Donald Trump, and 1 percent said they will vote for a third-party candidate. The remaining 16 percent are undecided.

Download the NBC News app for full coverage and alerts on the latest news.

Tamil Americans have gained prominence in the last few years, including Google CEO Sundar Pichai, actors like Aziz Ansari and Mindy Kaling, Rep. Pramila Jayapal, D-Wash., and author and host Padma Lakshmi.

Harris continued to receive support on social media during and after her speech. Lakshmi tweeted that her "heart is so full right now."

Aarthi Gunasekaran, policy manager of the Mayor's Fund to Advance New York City, tweeted : "Watching Kamala Harris speak with such pride about her South Indian mom, while I sit next to my Amma, and my nephew who calls me Chithi, is so special."

Kaling tweeted her support, as did Harris' niece Meena Harris, with the words "Chittis for America."

• February 2024
• January 2024
• December 2023
• November 2023
• October 2023
• September 2023
• August 2023
• February 2023
• January 2023
• December 2022
• November 2022
• October 2022
• September 2022
• August 2022
• October 2021
• September 2021
• August 2021
• February 2021
• January 2021
• December 2020
• August 2020
• February 2020
• January 2020
• December 2019
• September 2019
• August 2019
• February 2019
• December 2018
• September 2018
• August 2018
• February 2018
• January 2018
• Current Events
• Entertainment
• Indian Culture
• Indian Remedies
• Interesting Facts
• Uncategorized
• Entries feed
• Comments feed
• WordPress.org

Discover 10 Fascinating Facts About the Tamil Language

Tamil culture, ethos, and living traditions are strongly linked to a language known to us as Tamil. However, It is much more than a language to people.

Originating in the southern regions of India, Tamil has evolved over thousands of years, shaping literature, art, and identity.

In 2004 Tamil was declared a classical language of India, meaning that it met three criteria: its origins are ancient; it has an independent tradition, and it possesses a considerable body of ancient literature. In the early 21st century more than 66 million people were Tamil speakers.

Let us look at some of the lesser-known and interesting facts about the Tamil language.

1. Tamil is one of the longest-surviving classical languages in the world

Tamil holds the distinction of being one of the longest-surviving classical languages globally.

The simple fact that the Tamil language is still spoken so widely unlike other ancient languages like Sanskrit and Aramaic is as surprising as it is amazing.

It is thought to have been born before 500 BC, as Tamil-Brahmin inscriptions from 500 BC have been found on Adichanallur, an archaeological site in Tamil Nadu.

It’s not the oldest language in the world, but it is among the oldest living languages that are still being used today.

2. Tamil is a part of UNESCO’s “Memory of the World” register

The collection of 11,000 palm-leaf and paper manuscripts in Sanskrit, Tamil, and Manipravalam about Shaiva Sidhanta was preserved at the French Institute, which is the largest collection of manuscripts of the Shaiva Siddhanta texts.

It has found a place in UNESCO’s “ Memory of the World ” register, according to Traja Virtanen, adviser for Communication Information, UNESCO, New Delhi.

3. Tamil is the only language that is also worshipped as a god

According to Hindu legend, Tamil or in personification form Tamil Thāi (Mother Tamil) was created by Lord Shiva. Murugan, revered as the Tamil God, along with sage Agastya, brought it to the people.

Located at Karaikudi, Tamil Nadu is a temple for ‘Tamil Thai’ (‘Thai’ means mother), which is a god that is considered the deified personification of the Tamil language as a mother.

4. Official Language of three countries

Tamil is spoken by significant minorities in the four other South Indian states of Kerala, Karnataka, Andhra Pradesh, Telangana, and the Union Territory of the Andaman and Nicobar Islands. It is one of the 22 scheduled languages of India.

However, despite its esteemed status and rich cultural heritage, the Tamil language often remains underappreciated and overlooked by those outside its native regions. This lack of awareness belies its significance, especially considering its official recognition in multiple countries.

Tamil is the official language of three countries: India, Sri Lanka, and Singapore It is also the official language of the Indian state of Tamil Nadu and the Union Territory of Puducherry. It is used as one of the languages of education in Malaysia, along with English, Malay, and Mandarin.

In Malaysia, 543 primary education government schools are available fully in Tamil medium.

5. Tamil is the first Indian language to be printed and published

In 1578, Portuguese Christian missionaries published a Tamil prayer book in old Tamil script named Thambiran Vanakkam, thus making Tamil the first Indian language to be printed and published.

The Tamil Lexicon, published by the University of Madras, was one of the earliest dictionaries published in the Indian languages. According to a 2001 survey, there were 1,863 newspapers published in Tamil, of which 353 were dailies.

6. Root words of Tamil are found in languages across the world

Tamil gave not only words but grammar to almost 400 languages. Root words of many languages are from Tamil. This includes Sanskrit, Greek, Latin, and Korean.

The root words of Tamil indeed exhibit fascinating connections to languages across the world, reflecting the language’s ancient origins and historical interactions.

Through linguistic analysis and comparative studies, scholars have identified correlations between Tamil and other language families, highlighting shared etymological roots and lexical similarities.

7. The only language to have a separate community ruled by kings

In the ancient period, Tamil was the only language to have a separate community named Mudhal Tamil Sangam ( முதல் தமிழ்ச்சங்கம் ) and ruled by 89 kings, 4400 years long ago.

8. Google and Tamil

Call it a coincidence or intentional, the name Google matches with its phonetic Tamil name KoogiL – this word can be broken into two parts koo and kiLL.

koo is koovu : one meaning is to call

கூ – தமிழ் விக்சனரி

kiLL is kiLLudhal which has meanings to pluck/search/analyze.

So Google in Tamil phonetical word koogiL logically gives the same meaning call and search/pluck. It is remarkable among the lesser known yet interesting facts about the Tamil language.

9. Most people pronounce the word Tamil incorrectly

Actually, Tamil is pronounced as Tamizh (தமிழ்) and not Tamil  (டமில்).  The “zh” has to be pronounced as ழ. It is the unique alphabet in the world and no language has the equivalent of that.

Even some Tamil people will find it difficult to pronounce that word correctly with the correct phonetic sound. 

10. Unique Script

The Tamil script, known as “Vattezhuthu” or “Grantha,” is one of the oldest continuously used writing systems in the world.

It has a distinct set of characters and is beautifully suited to the language’s phonetic nature.

Visual Stories

The best content in your inbox.

Potato Paradox: A Simple Question with an Impossible Answer

Vande Mataram: The Story of the Song of India’s Nationalism

Roy Sullivan: The Man Struck by Lightning Seven Times and Lived to Tell the Tale

This “Suicide Plant” Has the Most Painful Spikes in the World

The Man Who Hiccupped for 68 Years, The Remarkable Story of Charles Osborne

Stray Dog Who Keeps Visiting Hyundai Dealership is Given a Job and a Home

London to Calcutta Bus Service, the Longest Bus Route in the World

Tilly Smith: The Heroic Child Who Saved Lives With Her Knowledge of Tsunamis

The Color of Ideals: Why Red Became the Color of Communism and Socialism

Text to speech Tamil

Easily convert text to speech in Tamil, and 90 more languages. Try our Tamil text to speech free online. No registration required. Create Audio

Tamil text to speech online voices make it easy to produce Tamil voiceovers, audio materials and videos. Narakeet has the best text to speech Tamil voices, based on latest AI technology that produces realistic, natural Tamil text to speech online. Check out the video below for a sample of our text to Tamil speech voices.

Tamil is the official language of of the Indian state of Tamil Nadu, and one of the official languages in Singapore and Sri Lanka. It is recognised as one of the oldest languages in the world, tracing history over 5000 years, and currently has about 75 million native speakers.

Narakeet has 4 Tamil text to speech male and female voices. Play the video below (with sound) for a quick demo.

Making content for the Indian market? In addition to text to voice Tamil, check out our Hindi text to speech voices and Indian Bengali text to speech generators and Text to Speech for Gujarati and English Indian text to speech online voices and Kannada text to voice converters and Marathi Voice Maker and Punjabi text to speech voice makers and Malayalam text to voice AI and Telugu text reader.

Text to Speech Tamil Converter

In addition to these voices, Narakeet has 700 text-to-speech voices in 90 languages .

For more options (uploading Word documents, voice speed/volume controls, working with Powerpoint files or Markdown scripts), check out our Tools .

Text to speech in Tamil language

Narakeet makes it easy to create lots of types of audio and video materials using Tamil accent generators, including:

• Text to tamil speech online mp3
• Text to tamil speech language lessons
• Text to speech indian voice messages
• Tamil voice samples
• Tamil text to speech YouTube videos
• Text to speech online Tamil articles
• Tamil voiceover social media posts
• Tamil voice announcements
• Tamil accent text to speech messages

Tamil Text-to-Speech Frequently Asked Questions

Want to know more about our Tamil online text to speech voices? Here are the answers to the most frequently asked questions:

How to convert text to speech in Tamil?

Just type your Tamil text into our Text to Audio tool, select one of our Tamil text to speech voices, and click "Create Audio" to convert Text to speech in Tamil online.

Is there any app to convert Tamil text to Tamil voice?

Yes, Narakeet has realistic, natural Tamil text to speech voices, available online, and voices that speak many other Indian languages.

Narakeet helps you create text to speech voiceovers , turn Powerpoint presentations and Markdown scripts into engaging videos. It is under active development, so things change frequently. Keep up to date: RSS , Slack , Twitter , YouTube , Facebook , Instagram , TikTok

Speech to Text Tamil

Note :  This software works only in Google Chrome (Version 25 or higher) Browser only. If you are using another browser, it will not work.  Download and Install Google Chrome  Here.

Click on the microphone icon below and begin speaking.

No speech was detected. You may need to adjust your microphone settings.

No microphone was found. Ensure that a microphone is installed and that microphone settings are configured correctly.

Click the "Allow" button above to enable your microphone.

Permission to use microphone was denied.

Permission to use microphone is blocked. To change, go to chrome://settings/contentExceptions#media-stream

Speech Recognition is not supported by this browser. Upgrade to Chrome version 25 or later.

• English to Tamil Convert and Typing

First ever in the history  Speech to Text Typing  in Tamil Language. Just set your mic and press the mic button and start speaking the software will recognize your voice and type automatically in Tamil text. You can save this typed text and use anywhere. Now you can give rest to your hand and just type by speak as long as you like. Worlds first  Tamil Voice To Text Converter  free.

How to insert new line and paragraph in speech to text Tamil?

While typing a Tamil document using speech-to-text, sometimes we have to add new lines and new paragraphs. Here we can simply add new lines or new paragraphs by using following voice commands. For example to insert new line we have to speak "புதிய கோடு". The new line command will move the cursor to new line and whatever you speak will be typed on new line.

How to insert punctuation marks and symbols in speech to text Tamil

In typing a Tamil document we need various punctuation marks and other symbols. In above Tamil speech-to-text converter you can add any punctuation mark by following voice commands. For example to insert a comma (,) symbol you have to speak "காற்புள்ளி".

How to insert serial number in Tamil speech to text ?

To add serial number in Tamil speech to text use following voice commands:

Some instruction for best results:

1. Use High quality Mic.

2. Speak clearly and loudly.

3. Not very fast in speaking, speak little bit slowly so the software can recognize your voice properly.

4. Your pronunciation should be clear.

See Also : Speech to Text English

Frequently Asked Question ?

Que: How my voice is convert into Tamil text ? Ans: Your voice is taken as input into speech recognition system and process into text output in Tamil script.

Que: What I need to use Tamil speech to text ? Ans: You need a Microphone and good internet connection for use online Tamil speech-to-text service.

Que: How to insert punctuation marks in Tamil speech typing ? Ans: To add various punctuation marks while using Tamil speech to text, like comma, full stop etc. you have to speak given voice commands.

Que: How to insert new line and new paragraph in Tamil speech-to-text ? Ans: To add new line speak " புதிய கோடு " and for new paragraph speak " புதிய பத்தி ".

Que: How to add symbol that is not on Tamil voice command list ? Ans: Go to contact page and message/email us to add new symbol with complete details.

Download language pack for speech

For some languages, you might need to manually download a speech pack.

 Go to  Start   and open Settings .

Select Time & language > Language .

Select the language you want to add speech to, and then select the Next  button.

Select the speech options you want included with the language.

Sign out and then sign back in for the new speech pack to be added to speech options.

Go back to Settings > Time & language > Language , select your new language, and then use the up-arrow button to move it to the top of the list and make it the default.

Go to Speech , and make sure the Speech language setting is aligned with the previous settings.

Sign out and then sign back in for the new settings to take effect.

Open language setting

Need more help?

Want more options.

Explore subscription benefits, browse training courses, learn how to secure your device, and more.

Microsoft 365 subscription benefits

Microsoft 365 training

Microsoft security

Accessibility center

Communities help you ask and answer questions, give feedback, and hear from experts with rich knowledge.

Ask the Microsoft Community

Microsoft Tech Community

Windows Insiders

Microsoft 365 Insiders

Was this information helpful?

Thank you for your feedback.

Tamil Text to speech with (human-like) voices

AI-powered Tamil text-to-speech with Dubverse is accurate, real, and fast! Type, paste, or upload a document & convert text to speech for free.

• Free to Start
• No Credit Card
• No lock-ins

 Automate Tamil Text-to-speech

It's just like you would have said it, but without saying it....

Speed Up Content Creation Journey

Save time, money, and effort with accurate voiceovers for your scripts for as many languages as you want in one go.

Get Human-Like, Ultra-Realistic Voices

AI-powered, engaging voices with intonation, tones, and accents that sound just like humans. 

Be Consistent With Neodub Speakers 

Same voices for multiple languages to build a strong, credible, and consistent brand voice throughout.

Connect With Global Audiences

Boost visibility and reach a wider audience across the globe who resonates with you with 30+ languages.

Put Tamil Text to speech into action

Enter your Tamil text

Select Language & Tamil Speaker

Download Tamil audio

Transform your tamil ai text-to-speech effortlessly with dubverse.

We have versatile speakers within a smooth editing platform.

Preview mode to check as many times as you want before publishing your video

Dubverse SAY is a magic tool for everything

Share your important stories with a wider audience and make your content accessible to people globally. Dubverse creates human-like, engaging voiceovers for your documentary films in multiple languages.

Whether you’re sharing information about your business or providing educational content, make your content accessible to a global audience and provide valuable information to viewers in their native language.

Dubverse is the ideal platform for dubbing your how-to videos. Help viewers learn new skills and techniques no matter where they are in the world by providing accurate dubbing in multiple languages.

Technology is a universal language, and with Dubverse, you can make sure your tech tutorials reach a global audience. Provide accurate translations and realistic voiceovers to help viewers understand complex concepts.

Stay on top of breaking news stories by dubbing your news segments. Dubverse can quickly and accurately translate and dub your content so you can provide up-to-date information to viewers across the world.

Informational

And anything else you want it to be...., minimize cost, maximize returns.

Scale up your Tamil content game

Work with teams

Invite your team to share, create and edit files together, and speed up feedback and production.

Share on Any Platform

Share your speech directly from the studio to Facebook, Twitter, Whatsapp, LinkedIn, or email. 

Get Expert Support

Want your speech to be 110% correct? Perfect your voiceover to the T with Dubverse. professionals.

overwhelming,

super-exhausting

extremely-daunting

process of hiring voice artists,

buying recording equipment, and

a never-ending feedback loop.

MAKE DUBVERSE TEXT TO SPEECH

Tamil Text-to-speech is a technology that converts written text into spoken words. It has numerous applications and is used in various contexts, such as accessibility, language learning, and entertainment. text-to-speech technology is becoming increasingly popular as it can improve accessibility and convenience for people with visual impairments or those who prefer audio content.

Tamil Text-to-speech technology works by using advanced algorithms that analyze and understand the context of the input text. This technology enables text-to-speech software to generate natural-sounding voices that are easy to understand, even for people with hearing difficulties. text-to-speech technology has come a long way in recent years, with advancements in artificial intelligence and machine learning enabling the creation of high-quality audio output that rivals human speech.

Some of the significant advantages of Tamil text-to-speech technology are:

• The ability to convert Tamil text to audio in real-time.

Users can input any text, and the software generates the corresponding audio output almost instantly, making text-to-speech software an excellent tool for people with visual impairments or those who prefer to listen to text rather than read it.

• The accuracy and clarity. 

The technology analyzes and understands the context of the input text, allowing it to generate natural-sounding voices that are easy to understand. 

• SEO value. 

By converting written content to audio, businesses and content creators can reach a wider audience and improve user experience. text-to-speech technology can also be used to create audiobooks, podcasts, and other audio content, enabling content creators to expand their reach and diversify their content offerings.

Overall, text-to-speech technology is becoming increasingly popular, with advancements in artificial intelligence and machine learning enabling the creation of high-quality audio output that is easy to understand and customize and can rival human speech. Businesses and content creators can benefit from the SEO value of text-to-speech technology by creating accessible and engaging content. Tamil text-to-speech technology is a must-have tool for anyone looking to expand their content offerings and reach a broader audience.

One of the popular AI apps that provide this feature is Dubverse, which enables users to convert text to audio in a seamless and efficient way.

Dubverse is a Tamil text-to-speech app that uses advanced AI technology to generate high-quality voice output. It has a user-friendly interface that allows users to input any Tamil text and convert it into an audio file. Dubverse supports 30+ Indian and global languages and has a wide range of voices and accents to choose from, enabling users to customize the listening experience.

Dubverse converts Tamil text to audio in real-time, making it an excellent tool for people who prefer to listen to text rather than read it . Users can input any text, and the app generates the corresponding audio output almost instantly. It also makes Dubverse an excellent tool for podcasters and audiobook narrators who need to customize the voice output to match their style and preferences.

Dubverse is an excellent tool for businesses and content creators who want to create engaging and accessible content. By converting written Tamil content to audio, businesses can reach a wider audience and improve user experience. Dubverse can also be used to create audiobooks, podcasts, and other audio content, enabling content creators to expand their reach and diversify their content offerings.

Tamil Text-to-speech technology has revolutionized the way we consume written content, providing an accessible and convenient way to listen to text rather than reading it. From accessibility to language learning, there are many use cases for Tamil text-to-speech technology. In this article, we will explore the top 7 use cases of converting text to audio.

• Accessibility

One of the most important use cases for text-to-speech technology is accessibility. For people with visual impairments, text-to-speech technology provides a way to access written content. By converting text to audio, people with visual impairments can listen to books, articles, and other written content with ease.

       2. Language Learning

Tamil Text-to-speech technology is an excellent tool for language learners. By converting text to audio, learners can listen to written content in their target language, improving their listening and comprehension skills. text-to-speech technology can also help learners with pronunciation, as they can listen to native speakers read the text.

       3. Productivity

Tamil Text-to-speech technology enables users to multitask. By listening to text rather than reading it, users can do other tasks simultaneously, such as driving or exercising. This makes text-to-speech technology useful for busy professionals or anyone looking to optimize their time and increase productivity.

      4. Content Creation

By using text-to-speech technology to convert written content to audio, businesses and content creators can reach a wider audience and improve user experience. Tamil text-to-speech technology can be used to create audiobooks, podcasts, and other audio content, enabling content creators to diversify their content offerings.

      5. E-Learning

Text-to-speech technology is an excellent tool for e-learning. By converting written content to audio, learners can access course material in a convenient and accessible way. text-to-speech in Tamil  technology can also help learners with special needs, such as dyslexia, by providing an alternative way to access course material.

      6. Entertainment

Text-to-speech technology can also be used for entertainment purposes. By converting written content to audio, users can listen to their favorite books or articles while doing other activities. text-to-speech technology can also be used to create engaging podcasts or audio dramas.

      7. News and Information

Text-to-speech technology is an excellent tool for news and information. By converting written content to audio, users can listen to news articles or other information while on the go. This makes it easier for users to stay up-to-date with the latest news and information.

Text-to-speech technology has numerous use cases, from accessibility to entertainment., making it  an excellent tool for language learners, productivity, content creation, e-learning, entertainment, and news and information. With advancements in artificial intelligence and machine learning, text-to-speech technology is becoming increasingly popular and providing new opportunities for businesses and content creators.

Text-to-speech online is an emerging technology that can benefit businesses in a multitude of ways. It allows businesses to convert written text into spoken words, offering a new channel to engage with customers and employees. Here are some ways businesses can make use of text-to-speech service:

• Enhance customer experience

Businesses can use text-to-speech online to enhance the customer experience. For example, they can use it to create voice-guided tutorials, provide audio instructions or menus for products, or offer audio descriptions for visually rich content such as images and videos. This can make it easier for customers to navigate a website or an app and improve their overall experience.

      2. Increase engagement

By using text-to-speech online, businesses can create more engaging content. Audio content can be more emotionally evocative than written content, making it easier to connect with audiences. Businesses can use text-to-speech to create podcasts, audiobooks, or even interactive voice assistants that can provide personalized recommendations to customers.

      3. Facilitate language learning

Businesses that operate in multilingual markets can use text-to-speech online to facilitate language learning for employees and customers. They can provide audio content in different languages, allowing users to improve their language skills and learn new vocabulary.

      4. Enhance security

Text-to-speech online can also be used to enhance security. For example, businesses can use it to create voice recognition systems that can identify employees or customers based on their unique voiceprint. This can help prevent fraud and unauthorized access to sensitive information.

      5. Provide access to information on-the-go

Businesses can use text-to-speech online to create audio versions of their news releases or product updates, enabling users to stay updated even when they cannot read.

      6. Improve audio branding

Businesses can use text-to-speech online to improve their audio branding. By creating audio versions of their brand name, tagline, and other important messaging, they can establish a consistent audio identity across different channels and touchpoints. This can help reinforce brand recognition and build brand loyalty.

      7. Provide audio feedback

Text-to-speech online can also be used to provide audio feedback to customers or employees. For example, businesses can use it to create personalized audio messages that congratulate customers on completing a task, remind them of upcoming appointments or events, or provide them with feedback on their performance. This can create a more personal and engaging experience for users, while also saving time and resources for businesses.

Tamil Text-to-speech online is a technology that has the potential to benefit a wide range of individuals and organizations. Here are some groups that can benefit from text-to-speech:

Students can use online text-to-speech as a tool for studying and learning. They can convert textbooks, articles, and other written materials into audio files that can be listened to while commuting or doing other activities, which will save time and help students to retain information more effectively, improving their academic performance.

      2. People with reading disabilities

By converting written Tamil text into spoken words, people with reading disabilities such as dyslexia, visual impairment, or learning disabilities can turn text-to-speech online to access and process information more easily, improving their literacy skills and overall quality of life.

      3. Language learners

Language learners can benefit from text-to-speech online by using it to improve their pronunciation and listening skills. They can listen to audio content in different languages and dialects, improving their comprehension and fluency.

      4. Commuters

Commuters can benefit from text-to-speech online by using it to listen to news articles, podcasts, or other audio content while driving, biking, or walking, enabling them to stay informed and entertained while on-the-go, without having to take their eyes off the road or sidewalk.

      5. Elderly people

Turning text-to-speech online enables elderly to access important information such as medical prescriptions, bank statements, or news articles easily. As people age, their eyesight and hearing abilities may decline, making it difficult to read small print or listen to audio content. An online text-to-speech tool can bridge this gap and provide a more convenient way to access information.

      6. Professionals

Professionals such as lawyers, doctors, or executives can benefit from text-to-speech online by using it to stay up-to-date with the latest news and trends in their industry. They can listen to podcasts, webinars, or conference calls of any language while working on other tasks, improving their productivity and staying informed.

      7. Non-native speakers

Non-native speakers can benefit from text-to-speech online by using it to improve their pronunciation and accent. They can listen to audio content in the language they are learning and practice speaking along with it, improving their speaking skills and confidence.

Arabic Text to Speech Free

Assamese text to speech free, bengali text to speech free, english text to speech free, french text to speech free, german text to speech free, gujarati text to speech free, hindi text to speech free, italian text to speech free, japanese text to speech free, kannada text to speech free, korean text to speech free, malayalam text to speech free, mandarin chinese text to speech free, marathi text to speech free, oriya text to speech free, portuguese text to speech free, punjabi text to speech free, russian text to speech free, spanish text to speech free, tamil text to speech free, telugu text to speech free, thai text to speech free, turkish text to speech free, try dubverse for all your content creation needs.

• Get started for free
• No Credit card required
• No contracts, no lock-ins

Press ESC to close

Or check our popular categories....

Python code snippets for Speech in Tamil

Using Python is fun. In a matter of minutes, I was able to build a rudimentary speech to text recognition app, for Tamil. And after that, in reverse, that is, to speak out loud a sentence of given Tamil text.

Speech to Text:

I got the base code from here. You need to install SpeechRecognition package (available through PIP) and PyAudio (available through PIP in Linux, but on Windows, you need to install appropriate package from here).

Text to Speech:

When I posted the above code, I got a reader request for a code that does the reverse – to speak out loud a sentence of given Tamil text. I have given this below. I got the base code from here . You need to install g TTS package (available through PIP). The code uses os.system to play the output audio file, this command works out of the box in Windows, in Linux you may need a command-line player like MPG321 (which can be installed using sudo apt-get install mpg321 )

You can listen to the output audio that’s produced by the code above, below:

The above was possible, thanks, to the numerous readymade packages that are available for free, and, the magic of cloud – in these two cases I am using Google Cloud, which required no configuration or key for trial runs. You may use Bing if you have an Azure API key.

Speech to Text in Python and its output

Tamil Text to Speech in Python

Categorized in:

Share Article:

About the Author

Venkatarangan thirumalai.

The Founder Catalyst

Technology advisor, professional speaker, and CEO coach. Also a Geek, Book worm, Movie lover, Traveller, Indian and தமிழன். Profile at tncv.me and Microsoft Community . தி.ந.ச.வெங்கடரங்கன் மென்பொருள் வல்லுனர், ஆலோசகர்; தொழில்முறை பேச்சாளர்; தலைமை நிர்வாகிகளின் பயிற்சியாளர்.

Check latest articles from this author:

நுங்கு என்கிற ஐஸ் ஆப்பில், run many large language models for free with msty, விண்டோஸ் கணினியின் வேகத்தை அதிகரித்தல்.

fantabulous work…..i know u’ve just showed a simple thing here……but its a good start helping people localize programming power

Leave a Reply Cancel reply

This site uses Akismet to reduce spam. Learn how your comment data is processed .

Related Articles

How to download videos from twitter (x) using opensource yt-dlp, python code for calling dall-e2 api in azure openai service, seven years ago what i had dreamed is now microsoft copilot, the future for software engineers by 2040, previous article, microsoft edge beta using chromium, next article, pink (2016), discover more from venkatarangan blog.

Subscribe now to keep reading and get access to the full archive.

Type your email…

Continue reading

Speech Emotion Recognition for Tamil Language Speakers

• Conference paper
• First Online: 26 February 2020
• Cite this conference paper

• V. Sowmya 17 &
• A. Rajeswari 17  

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1085))

Included in the following conference series:

• International Conference on Machine Intelligence and Signal Processing

503 Accesses

5 Citations

Emotional information in speech signal is an important information resource that expresses the state of mind of a person. For robots to plan their actions autonomously and interact with people, recognizing human emotions is a critical parameter required for emotion recognition. In this paper, the emotion is recognized and identified from Tamil speech signal of the speaker so as to make conversation between human and computer more native and natural. The most human non-verbal cues such as pitch, loudness, spectrum and speech rate are efficient carriers of emotion. In this proposed work, there are three important aspects of designing a speech emotion recognition system. For developing a speech emotion recognition system, three aspects are taken into consideration. They are database, feature extraction and emotion classifiers. A database is created for Tamil language, and the Mel-Frequency Cepstral Coefficient (MFCC) and energy are calculated from both recorded audio signal and real-time audio signal. From these extracted prosodic and spectral features, emotions are classified using support vector machine (SVM) with overall 85.4% accuracy.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

• Available as PDF
• Read on any device
• Instant download
• Own it forever
• Available as EPUB and PDF
• Compact, lightweight edition
• Dispatched in 3 to 5 business days
• Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Agrawal, A., Mishra, N.K.: Fusion based emotion recognition system. In: Proceedings—2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016, pp. 727–732. Institute of Electrical and Electronics Engineers Inc. (2017). https://doi.org/10.1109/CSCI.2016.0142

Desai, D.: Emotion recognition using speech signal: a review. Int. Res. J. Eng. Technol. (IRJET) 05 (04), 1599–1605 (2018)

Google Scholar  

Mustafa, M.B., Yusoof, M.A.M., Don, Z.M., Malekzadeh, M.: Speech emotion recognition research: an analysis of research focus. Int. J. Speech Technol. 21 (1), 137–156 (2018). https://doi.org/10.1007/s10772-018-9493-x

Article   Google Scholar  

Ke, X., Zhu, Y., Wen, L., Zhang, W.: Speech emotion recognition based on SVM and ANN. Int. J. Mach. Learn. Comput. 8 (3), 198–202 (2018). https://doi.org/10.18178/ijmlc.2018.8.3.687

Abdollahpour, M., Zamani, J., Rad, H.S.: Feature representation for speech emotion recognition. In: 2017 25th Iranian Conference on Electrical Engineering, ICEE 2017, pp. 1465–1468. Institute of Electrical and Electronics Engineers Inc. (2017). https://doi.org/10.1109/IranianCEE.2017.7985273

Jamil, N., Apandi, F., Hamzah, R.: Influences of age in emotion recognition of spontaneous speech. In: 2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD) (2017)

Albornoz, E.M., Milone, D.H.: Emotion recognition in never-seen languages a novel ensemble method with emotion profiles. IEEE Trans. Affect. Comput. 8 (1), 43–53 (2017)

Joe, C.V.: Developing Tamil emotional speech corpus and evaluating using SVM. In: 2014 International Conference on Science Engineering and Management Research, ICSEMR 2014. Institute of Electrical and Electronics Engineers Inc. (2014). https://doi.org/10.1109/ICSEMR.2014.7043627

Fragopanagos, N., Taylor, J.G.: Emotion recognition in human-computer interaction. IEEE Trans. Speech Audio Process 18 (9), 389–405 (2017)

Chandran, A., Pravena, D., Govind, D.: Development of speech emotion recognition system using deep belief networks in Malayalam language. In: 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, Jan 2017, vol. 2017, pp. 676–680. Institute of Electrical and Electronics Engineers Inc. (2017). https://doi.org/10.1109/ICACCI.2017.8125919

Chernykh, V., Prikhodko, P.: Emotion recognition from speech with recurrent neural networks (2017). Retrieved from http://arxiv.org/abs/1701.08071

El Ayadi, M., Kamel, M.S., Karray, F.: Survey on speech emotion recognition: features, classification schemes, and databases. Pattern Recognit. 44 (3), 572–587 (2011). https://doi.org/10.1016/j.patcog.2010.09.020

Garg, P., Sehgal, S.: Comparison of emotion recognition models in spoken dialogs. Int. J. Softw. Hardw. Res. Eng. 3 (2015)

Joseph, A., Sridhar, R.: Performance evaluation of various classifiers in emotion recognition using discrete wavelet transform, linear predictor coefficients and formant features (2017). https://doi.org/10.1007/978-981-10-2525-9

Javier, G., Sundgren, D., Rahmani, R., Larsson, A., Moran, A., Bonet, I.: Speech emotion recognition in emotional feedback for human-robot interaction. Int. J. Adv. Res. Artif. Intell. 4 (2) (2015). https://doi.org/10.14569/ijarai.2015.040204

Srikanth, M., Pravena, D., Govind, D.: Tamil speech emotion recognition using deep belief network (DBN). In: International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS), pp. 328–336 (2017)

Dave, N.: Feature extraction methods LPC, PLP and MFCC in speech recognition. Int. J. Adv. Res. Eng. Technol. 1 (VI), 1–5 (2013)

Gupta, D., Richhariya, B., Borah, P.: A fuzzy twin support vector machine based on information entropy for class imbalance learning. Neural Comput. Appl. 1–12 (2018). https://doi.org/10.1007/s00521-018-3551-9

Tanveer, M., Shubham, K.: Smooth twin support vector machines via unconstrained convex minimization. Filomat 31 (8), 2195–2210 (2017). https://doi.org/10.2298/FIL1708195T

Article   MathSciNet   Google Scholar  

Download references

Author information

Authors and affiliations.

Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, India

V. Sowmya & A. Rajeswari

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to V. Sowmya .

Editor information

Editors and affiliations.

Department of Information Technology, Indian Institute of Information Technology Allahabad, Allahabad, India

Sonali Agarwal

Shekhar Verma

Department of Electrical Engineering and Computing Science, University of Cincinnati, Cincinnati, OH, USA

Dharma P. Agrawal

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper.

Sowmya, V., Rajeswari, A. (2020). Speech Emotion Recognition for Tamil Language Speakers. In: Agarwal, S., Verma, S., Agrawal, D. (eds) Machine Intelligence and Signal Processing. MISP 2019. Advances in Intelligent Systems and Computing, vol 1085. Springer, Singapore. https://doi.org/10.1007/978-981-15-1366-4_10

Download citation

DOI : https://doi.org/10.1007/978-981-15-1366-4_10

Published : 26 February 2020

Publisher Name : Springer, Singapore

Print ISBN : 978-981-15-1365-7

Online ISBN : 978-981-15-1366-4

eBook Packages : Intelligent Technologies and Robotics Intelligent Technologies and Robotics (R0)

Share this paper

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Publish with us

Policies and ethics

• Find a journal
• Track your research