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Introducing Saaras V4, our most capable speech to text model yet. It delivers strong performance across both English and Indian languages, with better accuracy over a much wider range of speech. Saaras V4 was built with specific attention to noise, accents, dialects and mixed-language speech. Read more in the blog:

Sarvam

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44,151 görüntüleme • 3 gün önce •via X (Twitter)

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Sarvam profil fotoğrafı

Sarvam3 gün önce

Saaras V4 is state of the art across all 22 Indian languages. 10 of these languages have no commercial alternative today.

Sarvam profil fotoğrafı

Sarvam3 gün önce

It also gets the lowest average word error rate across seven English benchmarks covering global accents, meetings, media and financial audio.

Sarvam profil fotoğrafı

Sarvam3 gün önce

Keyterm prompting is a new addition in Saaras V4, giving the model more context before transcription begins. Names, brands, product terms and specialised vocabulary can be provided as context, helping Saaras V4 recognise words that are uncommon, domain-specific or easy to mishear. This is especially useful in areas where a small transcription error can materially change the meaning.

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Saaras V4 preserves transcription accuracy across noisy audio. We evaluated Saaras V4 on Kathbath Noisy using LLM-WER, across speech affected by compression, clipping and background interference. Saaras V4 maintains substantially higher transcription accuracy under these conditions, with an error rate less than half that of Deepgram Nova-3 and GPT-4o Transcribe.

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Saaras V4 also supports five transcript formats for different applications. The formats let the same model serve very different workflows, from low-latency voice agents to verbatim transcripts for compliance and cleaner English for analysis.

Vishal Singh 🥑 profil fotoğrafı

Vishal Singh 🥑3 gün önce

What can Saaras V4 do now that it couldn't before? - Assamese helplines for Assam citizen services, disaster alerts, and health queries - Bodo helplines and panchayat bots for Bodoland / Assam local governance - Manipuri (Meitei) helplines for Manipur public services, hospitals, and education support - Combined Northeast voice desk covering Assamese + Bodo + Manipuri on one line - Santali tribal welfare apps in Jharkhand, Odisha, and Bengal - Santali mining / factory safety voice reporting in Jharkhand and nearby belts - Kashmiri citizen-service IVR and grievance bots for J&K - Dogri citizen-service IVR and local-body helpdesks for Jammu - Maithili agri advisories for Bihar / Mithila farmers - Maithili panchayat and ration / scheme query bots in north Bihar - Konkani banking IVR for Goa and the Konkan coast - Konkani insurance, UPI, and loan collections calls in Goa / coastal Karnataka / Maharashtra - Sanskrit temple recitation transcription and archive search Sanskrit education apps for pathshalas, universities, and exam practice - Sindhi community service, banking, and diaspora support lines - Nepali citizen and tourism helpdesks in Sikkim, Darjeeling, and border districts - Assamese + Nepali thinner-coverage upgrade for state portals that previously failed on dialect and code-mix - Low-resource language voice surveys for elections, health camps, and welfare schemes - Court / police verbatim records in Kashmiri, Dogri, Maithili, Santali, Bodo, or Manipuri - School and literacy apps that accept spoken answers in these languages instead of only Hindi or English Excited to see the ground level impact 🙌

Mayur chaudhary profil fotoğrafı

Mayur chaudhary3 gün önce

And what about 1 trillion parameter model ??

sai santosh kumar profil fotoğrafı

sai santosh kumar3 gün önce

Still no word level time stamps ?

alt profil fotoğrafı

alt3 gün önce

Any chance of speech to speech model in near future?

Aware Citizen profil fotoğrafı

Aware Citizen3 gün önce

Woh great going team Sarvam india needs this due to various languages spoken in pan india..this will revolutionize translation in future

Lovey Jain profil fotoğrafı

Lovey Jain3 gün önce

Building on side Prem — a space where people can talk to someone they love/lost by uploading their voice audio and having an AI-powered conversation. I’m exploring whether Sarvam AI can help with the voice cloning + speech-to-speech pipeline Which Sarvam model/process would do?

✦ SK ✦ profil fotoğrafı

✦ SK ✦3 gün önce

sab kuch bna diya text SOTA model kab laoge?? Jo modi ke vishwaguru ka sapna kab pura kroge?? AGI???

Assu_Bhadhu profil fotoğrafı

Assu_Bhadhu3 gün önce

open weight?

Oleks profil fotoğrafı

Oleks3 gün önce

noise and accents are where most speech models fall apart

MochiBro profil fotoğrafı

MochiBro3 gün önce

just wow 😲😳

Mesut De profil fotoğrafı

Mesut De3 gün önce

conrat

Xien Luis profil fotoğrafı

Xien Luis3 gün önce

bulbul v4 next, trust

Tree (🌸, 🌿) profil fotoğrafı

Tree (🌸, 🌿)3 gün önce

gov's propaganda mouthpiece ai model...

LastResort profil fotoğrafı

LastResort3 gün önce

@grok price of this one?

Shrestha profil fotoğrafı

Shrestha3 gün önce

What about coding agents? Yet on Waitlist🙁

Rajat profil fotoğrafı

Rajat3 gün önce

new Saaras V4 model is already available on Vercel's @aisdk ❤️

Democracy profil fotoğrafı

Democracy3 gün önce

Any Plan Coding Models ?

Vince Dsouza profil fotoğrafı

Vince Dsouza3 gün önce

the gradients and fonts on this are so clean!!!

On-Device Logs profil fotoğrafı

On-Device Logs3 gün önce

bruh another s2t model? hope it actually outperforms the hype

ankan profil fotoğrafı

ankan3 gün önce

Hey is anybody building with Sarvam please connect, have questions 🫵🏻

Sahil Nawaz profil fotoğrafı

Sahil Nawaz3 gün önce

Congratulations on the launch!! Let's build a community together! DMs are open!

Audemy profil fotoğrafı

Audemy3 gün önce

kathbath, the noise benchmark, is read speech: a sample passed only if it exactly matched the prompt, and speakers were told to skip words they found hard to pronounce. that covers accent and channel. disordered speech is a different axis, and it's where asr is access.

Isoldegwow profil fotoğrafı

Isoldegwow3 gün önce

Finally a benchmark for people who start a sentence in English and finish it in Hindi.

Anil Pai profil fotoğrafı

Anil Pai3 gün önce

Its v4 and still no word level timestamps. What is the use of segment level timestamps ? 🤷

Evia AI profil fotoğrafı

Evia AI3 gün önce

This kind of robustness to accents and noise is what really makes STT usable in real world

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We're introducing two new transcription models in the API: • GPT-Live-Transcribe: built for low-latency live transcription. • GPT-Transcribe: optimized for asynchronous transcription of completed audio files and batch workloads. Both models better understand context and deliver more accurate transcription on real world audio across accents and languages, including for short phrases, numbers, specialized terminology, and speech with loud background noise.

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Speech to Speech is now available in 29 languages. In November, we launched Speech to Speech, enabling you to transform your voice into another character with full control over emotions, timing, and delivery. Today we're making Speech to Speech multilingual. Use Speech to Speech to get more control than with prompting alone. Simply say it how you want it, choose a target voice, and generate.

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Drop 5/14: Introducing Bulbul V3, our latest text-to-speech model. It raises the bar for how human it sounds, while being super robust. In an independent third-party human listening study, Bulbul V3 delivers the highest listener preference, and low error rates across use-cases and languages. See details in our blog, but first watch the video.

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We are launching the Eleven v3 (alpha) API. Built for async use cases, Eleven v3 (alpha) delivers the most expressive Text to Speech model: - Dialogue mode, unlimited amount of speakers - 70+ languages - Enhanced voice and emotional control with [audio tags]

We are launching the Eleven v3 (alpha) API. Built for async use cases, Eleven v3 (alpha) delivers the most expressive Text to Speech model: - Dialogue mode, unlimited amount of speakers - 70+ languages - Enhanced voice and emotional control with [audio tags]

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