Google · Speech Recognition
Gemini 3.5 Transcribe
Google's speech-to-text model, handling speaker self-corrections inside the transcript, filler-word removal, and multi-speaker identification with timestamps for up to three speakers, plus function calling. Over 85 languages with automatic detection. Google states word error rates of 4.0% streaming and 2.6% non-streaming overall, 5.50% and 5.04% on FLEURS, and time-to-final-transcription 70% faster than its predecessor Chirp 3. In public preview through the Live and Interactions APIs in AI Studio and the Gemini Enterprise Agent Platform, and rolling out to Gboard, the macOS Gemini app and Chrome.
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Published by Quanta AI Labs, an AI agency in India. Browse every week in AI News Weekly.