Meta launches Muse Voice Transcribe with diarization at $0.18 an hour
The model handles 20-plus speakers and code-switching, while Speechmatics and AWS publish higher speaker ceilings.
By RuntimeWire Staff · Published
Primary source: VentureBeat
Why it matters
Meta is pricing transcription, endpointing and speaker diarization as one low-cost API, pressuring speech specialists to defend their rates with better accuracy, deployment controls and production reliability.
Mark Zuckerberg's Meta launched Muse Voice Transcribe on September 1st, pricing a real-time speech model with transcription, endpoint detection and speaker diarization at $0.18 per processed audio hour. The release gives developers one model for hearing words, separating speakers and deciding when a person has finished talking, three jobs that voice applications often handle through separate systems.…
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