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.
MOSS Transcribe Diarize is an Other AI project. It focuses on transcribing audio and identifying different speakers in multi-speaker conversations. It is built as an open-source project for developers. The project is open source (Apache-2.0). It ships for the web, the command line, and API.
Behind MOSS Transcribe Diarize is OpenMOSS-Team, and it first shipped in 2026. Development happens publicly on GitHub with 1.1k stars and 14 commits in the last 90 days. Key capabilities include Speech Transcription, Speaker Diarization, and Audio Processing.
Summary written by a language model from the project’s public pages.
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