speaker diarization

NVIDIA released Nemotron 3 Diarization, a 100-million-parameter open-weight model that identifies who is speaking and when in audio conversations. It ranked #1 among 17 system configurations on Voice Arena's Diarization-Bench with a 14.72% diarization error rate, supporting up to eight speakers in both live and recorded audio.

Meta Superintelligence Lab released Muse Voice Transcribe, its first real-time audio perception model, claiming state-of-the-art streaming speech-to-text with native speaker diarization. The model handles 20+ speakers and code-switching across languages, priced at $3 per 1,000 audio minutes.