GoKawiilMeta launches Muse Voice Transcribe at $0.18 per audio hour with 20+ speaker diarization
Meta Superintelligence Labs has released Muse Voice Transcribe, a real-time speech-to-text model that streams transcription, detects sentence endpoints, and identifies more than 20 distinct speakers without a separate processing step. Trained on over 70 languages (25 thoroughly validated), the model handles long recordings beyond an hour and supports code-switching between languages, all offered via API at $0.18 per hour of audio.
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Rivals like Speechmatics and Amazon Transcribe already support 30 to 100 speakers, so Meta's edge isn't the speaker count itself but the bundling of low-latency transcription, endpoint detection, multilingual support and built-in diarization at an aggressively low price. That combination matters for developers building meeting tools, call analytics or live AI assistants, where knowing who said what is becoming as important as capturing the words themselves.
- Muse Voice Transcribe prices real-time transcription at $0.18 per audio hour with diarization for 20+ speakers built in.
- Competitors offer higher speaker-count ceilings, but Meta bundles speed, multilingual support and diarization in one low-cost model.
- Speaker diarization is becoming a core requirement for enterprise voice AI applications like meeting assistants and call analytics.
Anker PowerConf S3 Bluetooth Speakerphone — Multi-speaker transcription only works as well as the audio it hears, and this conference speakerphone uses a six-microphone array to pick up voices around a table. It's a practical companion for meeting rooms feeding real-time diarization services like Meta's Muse Voice Transcribe, and it connects over Bluetooth or USB for laptops and phones alike.
See Anker PowerConf S3 Bluetooth Speakerphone on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: venturebeat.com, 2026-09-02
Published there as: “Meta prices Muse Voice Transcribe at $0.18 an hour, with real-time diarization for 20+ speakers: a steal for enterprises?”
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