# Muse Voice Transcribe launch evaluation: Voice Benchmark Profile

> Meta’s launch evaluation reports streaming transcription accuracy, speaker diarization, and real-time audio-perception capabilities for Muse Voice Transcribe.

- Scope: Final-transcription streaming WER; average diarization error rate across AMI-IHM, AMI-SDM, and VoxConverse; multilingual and long-context capability disclosures
- Measurement lanes: Conversation dynamics, Voice experience, Latency
- Primary metric: Word error rate and diarization error rate (lower is better)
- Available evidence: Exact figures published in the official launch post
- Owner: Meta Superintelligence Labs
- Source snapshots refreshed: 2026-10-15

## Interpretation limit

These are provider-reported launch results, not an independent end-to-end voice-agent ranking. The post does not publish enough per-dataset detail to reconstruct either aggregate from raw runs.

## Primary sources

- [Owner page](https://research.meta.ai/blog/introducing-muse-voice-transcribe)

Canonical page: https://benchlm.ai/voice-benchmarks/muse-voice-transcribe-evaluation