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Sarvam in Session
A deep dive into Saaras V3
We're hosting a webinar on Saaras V3, Sarvam's Speech-to-Text model for Indian languages, to help you power your Voice AI use cases with Indian speech-to-text. We'll walk through how Saaras V3 handles real Indian speech, and what it takes to ship production-ready Voice AI with it.
Event content
We hosted a webinar on Saaras V3, Sarvam's Speech-to-Text model for Indian languages, to help you power your Voice AI use cases with Indian speech-to-text. We walked through how Saaras V3 handles real Indian speech, and what it takes to ship production-ready Voice AI with it.
What was covered
- How ASR fits into the broader Voice AI stack, across transcription, dictation, voice agents, and call analytics
- What makes Saaras V3 work for Indian speech: language coverage, code-mixing, regional accents, and noisy audio
- Why diarization matters in call centres and meetings, where separating speakers shapes context and intent
- Streaming vs batch transcription, and the tradeoffs between latency, accuracy, and product experience
- How Saaras V3 is running in production across customer support, fintech, and consumer apps