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Entries matching “muse-voice”

Mark Zuckerberg

@finkd

Muse Voice Transcribe is MSL's first real-time audio perception model -- rolling out today. SOTA in streaming speech-to-text, it handles speaker diarization, and endpointing natively in a single model.

X post · Benchmarks & research★ Pick· ♥ 5.5K

Muse Voice Transcribe

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Zach Solomon

@ZachSB

This feels significant. I was added to a @muse beta with voice calling. It called contractors just now, sent an email with photos to follow up, and I don’t even need to be present for the estimate. Those who get good at agent to agent are going to absolutely clean up.

X post · Errands & personal agent· ♥ 4

Contractor calls and photo follow-ups

U

MajesticAd2862

u/MajesticAd2862

I've been working on clinical speaker attribution at Omi and wanted to compare the current diarization models on the same audio. I used 15 mock doctor–patient consultations from PriMock57, about 2.4 hours. Full recordings, automatic speaker counts, without telling the models there are two people. Batch Diarization error rate (DER), with ±250 ms boundary tolerance. Lower is better. Model DER Median processing time Pyannote Precision-3 2.891% 18.9 s / recording (API) Nemotron 3 4.803% 0.688 s / recording Pyannote Community-1 6.620% 18.691 s / recording Sortformer v1 6.778% 3.869 s / recording Sortformer v2.1 7.974% 1.077 s / recording VibeVoice-ASR 8.233% 123 s / recording Meta Muse Voice Transcribe † 13.042% 92 s / request (API) Local models ran on one NVIDIA L4. API times include round-trip overhead; VibeVoice-ASR also performs transcription. † Muse used 20 separate clips because of its 10-minute request limit, so its result isn't a whole-recording comparison. Pyannote Precision-3 had the lowest error. Nemotron came next and was the fastest local model. Streaming Model DER Pyannote live API 3.959% Nemotron 3 † 4.971% Sortformer v2.1 † 6.958% VibeVo

Reddit post · Benchmarks & research

Muse Voice Transcribe tested on clinical diarization

@danny-hines

@danny-hines

A self-hosted mini arcade cabinet on a Raspberry Pi that generates SNES-style games from a player photo and a voice prompt, using Muse Spark to judge art and Muse Image and Muse Voice Transcribe for assets and input.

GitHub · Games & 3D★ Pick

Sparkade

@spora-ai

@spora-ai

Meta Muse vendor plugin for Spora agents shipping Muse Voice Transcribe speech-to-text and Muse Image generation and editing behind one Meta Model API key.

Skill · Coding & dev tools

spora-plugin-muse

M

@MetaDevelopers

@MetaDevelopers

Meta Developers session on what Muse Spark's act-on-perception multimodality unlocks across code, physical action and video workflows, plus Muse Voice Transcribe.

Video · Benchmarks & research· ♥ 1

Meta Connect: the multimodal intelligence of Muse Spark

meta.com

meta.com

Meta's Connect 2026 roundup: Muse voice mode, the Muse Realtime Avatar, Muse on AI glasses, an agent email address, Mac computer use, and connectors from Walmart, Best Buy, Expedia, Instacart, Notion, GitHub, Box and more.

Resource · Errands & personal agent

Everything Meta announced for Muse at Connect 2026

7 builds · page 1 of 1

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