GoKawiilMeta debuts Muse Voice Transcribe for real-time speech-to-text on Mac
Meta Superintelligence Labs has released Muse Voice Transcribe, a streaming speech recognition model that combines transcription, speaker diarization for over 20 voices, and endpointing in a single pass. It supports more than 70 languages, with 25 validated at launch, handles recordings over an hour long, and allows mid-sentence code-switching between languages. The model is live now in Meta AI for Mac, Muse Code, and via the Meta Model API at $3 per 1,000 audio-minutes.
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By merging transcription, speaker separation, and turn-detection into one adaptive-delay system, Meta is targeting a workflow previously requiring multiple specialized tools, which could simplify voice interfaces for meetings, dictation, and multilingual apps. Its top ranking on the Artificial Analysis streaming speech-to-text leaderboard signals Meta pushing directly against providers like OpenAI and Google in real-time voice AI infrastructure, an increasingly important layer for agentic and hands-free computing.
- Muse Voice Transcribe unifies streaming ASR, diarization, and endpointing in one model.
- It supports 70+ languages, hour-long audio, and mid-sentence code-switching.
- Available now on Mac dictation, Muse Code, and the Meta Model API at $3 per 1,000 minutes.
Blue Yeti USB Microphone — If you're going to dictate system-wide on your Mac with Muse Voice Transcribe, a clean input signal matters more than anything. The Blue Yeti is a plug-and-play USB condenser mic with multiple pickup patterns, so you can dial in tight cardioid for solo dictation or open it up for multi-speaker recordings that transcription tools can diarize.
See Blue Yeti USB Microphone 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: 9to5mac.com — Zac Hall, 2026-09-01
Published there as: “Meta launches Muse Voice Transcribe for real-time voice dictation on Mac”
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