shipwithmuse

№ 1067Reddit post

Muse Voice Transcribe tested on clinical diarization

Compared diarization models on 15 mock doctor-patient consultations (~2.4 h): Meta Muse Voice Transcribe scored 13.04% DER at ~92 s per request via API, behind Pyannote (2.89%) and Nemotron 3 (4.80%).

MajesticAd2862, who works on clinical speaker attribution at Omi, used PriMock57 with a ±250 ms boundary tolerance and automatic speaker counts. Muse had to be run on 20 separate clips because of its 10-minute request limit, so its number is not a whole-recording comparison, and it was not evaluated for streaming.

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