Meta just beat OpenAI and Google at real-time transcription
The New Stack 1 month ago 24 ● 8 sources
Meta’s Superintelligence Labs launched Muse Voice Transcribe, a real-time speech recognition model that performs ahead of comparable streaming competitors on reported benchmarks. Its AA-WER Streaming word error rate is 3.1%, versus Cartesia Ink-2 at 3.4%, ElevenLabs’ Scribe v2 Realtime at 3.6%, GPT Live Transcribe at 3.9%, and Gemini 3.5 Transcribe Live at 4.0%. The model becomes available via the Meta Model API, Meta AI for Mac, and Muse Code, while Meta keeps it closed-weight rather than releasing open weights.