Models Model details

Meta

Meta: Muse Voice Transcribe 1.0

meta/muse-voice-transcribe-1.0

Muse Voice Transcribe 1.0 is a synchronous speech-to-text model from Meta. It is suited for push-to-talk, endpointing, and speaker-aware transcription, with keyword biasing for domain terms and language biasing through language-name hints. It accepts mono 16-bit PCM WAV audio at 16 kHz or 24 kHz for recordings up to 10 minutes. It does not provide word-level timestamps or confidence scores, and other audio formats must be converted to WAV before upload.

Input
$50

/ 1M tokens · Token reference

Output
$0

/ 1M tokens · Token reference

Context window
Not published

tokens

Transcription output · Token reference fields do not establish an output-unit price.

Model facts

Author

Meta

Tokenizer

Other

Modality

Audio -> Transcription

Created

Sep 11, 2026

Publication status

Hugging Face: not mappedLicense: not publishedParameter count: not published

Modalities

Input · AudioOutput · Transcription