The Information Machine
Following·since 1 Sep 2026·Day 4·2 sources·updated 2 Sep 2026

Meta Superintelligence Labs Muse Voice Transcribe launch

The gist

Meta Superintelligence Labs Launches Muse Voice Transcribe Real-Time ASR

Handling speaker diarization, endpointing, and turn detection natively in a single streaming model differs from conventional speech-to-text APIs, which typically require separate components for each function. Meta reports benchmark-leading results across both streaming speech-to-text and diarization.

The full picture

Muse Voice Transcribe, released September 1, 2026, is Meta Superintelligence Labs' first real-time audio perception model. It delivers streaming ASR with a 3.1% word error rate, speaker diarization for more than 20 speakers, and turn-endpointing natively within a single model. The model processes audio in 80ms chunks, dynamically deciding after each chunk whether to emit text or continue listening. It supports multilingual speech and seamless code-switching, with accuracy improvements available through language, keyword, and context biasing. Meta reports it ranks first on Artificial Analysis streaming speech-to-text and public diarization benchmarks. It is available through the Meta Model API, Meta AI for Mac, and Muse Code. On September 4, Meta also released Muse Spark 1.3 with a max reasoning tier on Muse Code and the Meta Model API, reporting stronger coding and agentic performance than the previously available high and xhigh tiers.

How it developed
4 September 2026

Meta releases Muse Spark 1.3 with a new max reasoning tier on Muse Code and the Meta Model API.

2 September 2026

Meta Superintelligence Labs released Muse Voice Transcribe on September 1, its first real-time audio perception model, handling streaming speech-to-text, speaker diarization for more than 20 speakers, and turn-endpointing within a single model.

The model processes audio in 80ms chunks and Meta reports a 3.1% final-transcription word error rate and first-place rankings on Artificial Analysis streaming speech-to-text and public diarization benchmarks. It is available through the Meta Model API, Meta AI for Mac, and Muse Code.

1 September 2026

Meta Superintelligence Labs releases Muse Voice Transcribe, its first real-time audio perception model, with streaming ASR, diarization, and endpointing in a single model.

Sources
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