MOSS-Transcribe-Diarize is an open-source model designed for simultaneous speech transcription and speaker diarization. It processes audio inputs to produce text transcripts with speaker labels. The model is part of the MOSS ecosystem and supports standard inference pipelines.
In the Other AI space, MOSS Transcribe Diarize takes a focused approach. It focuses on transcribing audio and identifying different speakers in multi-speaker conversations. MOSS Transcribe Diarize is an open-source project aimed at developers. The project is open source (Apache-2.0). The product ships for the web, the command line, and API.
It is developed by OpenMOSS-Team, and the product first shipped in 2026. The project is developed in the open on GitHub with 1.1k stars and 14 commits in the last 90 days. Among its 3 catalogued features are Speech Transcription, Speaker Diarization, and Audio Processing.
Latest indexed changes and source events
OpenMOSS-Team/MOSS-Transcribe-Diarize verified by the PulseGate indexer
Other apps tracked under the same category.