Multimodal model

Muse Voice Transcribe

Muse Voice Transcribe is a real time audio perception model that performs streaming speech recognition, speaker diarization and endpointing in a single pass. It ingests audio in 80 millisecond chunks, each turned into one soft token, and handles audio beyond one hour with 20 or more speakers without post processing. It covers 70 or more languages, 25 extensively verified, with native code switching. It reports a 3.1 percent word error rate and a 17.5 percent diarization error rate.

Type
Multimodal
Weights
Closed