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Gnani AI has released Prisma v3.0, an automatic speech recognition model that supports nine Indian languages, including Hindi and Bengali, as well as English, and can transcribe multilingual conversations with intra-sentence Hindi-English code-mixing. According to Analytics India Magazine, the model achieves a macro-average WER of 16.93 on the Vistaar benchmark, lower than ElevenLabs Scribe v2's 19.98, Microsoft Azure Speech-to-Text's 20.51, and Deepgram Nova 3's 26.57. It offers four transcription modes—Verbatim, Transcribe, Code-mix, and Transliterate—and supports up to 200 custom vocabulary terms per request, which can raise the recall rate for these terms from 70.9% to 90.3%. No further updates have been disclosed at this time.
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Gnani AI Releases Prisma v3.0 Speech Recognition Model, Supporting 10 LanguagesDevelopments
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- Source:Analytics India Magazine
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Oct 29
Analytics India Magazine
Gnani AI Releases Prisma v3.0 Speech Recognition Model, Supporting 10 Languages
Gnani AI has released its automatic speech recognition model Prisma v3.0, supporting nine Indian languages including Hindi and Bengali as well as English, and capable of transcribing multilingual conversations with intra-sentence Hindi-English code-mixing. On the Vistaar benchmark, the model achieves a macro-average WER of 16.93, lower than ElevenLabs Scribe v2's 19.98, Microsoft Azure Speech-to-Text's 20.51, and Deepgram Nova 3's 26.57. It offers four transcription modes—Verbatim, Transcribe, Code-mix, and Transliterate—and supports up to 200 custom vocabulary terms per request, raising the recall rate for these terms from 70.9% to 90.3%.