Gnani AI launches Prisma v3.0 speech-to-text model for Indian languages
Gnani AI, a Bengaluru-based AI company has launched Prisma v3.0, a speech-to-text model trained on Indian telephone audio and code-mixed speech. The model supports nine Indian languages and Indian English with four transcription modes and controls for formatting transcripts.
In an evaluation using the official Vistaar scoring protocol, Prisma v3.0 recorded a macro word error rate (WER) of 16.9% across nine Indian languages, compared with 19.98% for ElevenLabs Scribe v2. Gnani AI said, Prisma v3.0 recorded a lower WER across all seven Vistaar datasets. For audio clips longer than three seconds, its automatic language identification feature correctly identified the spoken language more than 98% of the time.
The model builds on Gnani AI’s existing speech technology, which the company says powers 50 million voice interactions daily. Prisma v3.0 is available through the company’s developer API with support for REST, WebSocket streaming and batch processing.
The model offers four transcription modes. ...
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