Reverb-diarization-v1 is a speaker diarization model built on the pyannote.audio framework. It identifies different speakers in an audio file and assigns time segments to each speaker. The model can process entire files or specific excerpts and is useful for transcription, meeting analysis, and archival audio processing.
Reverb Diarization is a Voice, TTS & speech product. Automatically determining which speaker said what in multi-speaker audio recordings. Reverb Diarization is an open-source project aimed at speech engineers. The project is open source (Apache-2.0). It runs on the web and API.
Rev builds and maintains Reverb Diarization, and the product first shipped in 2024. The project is developed in the open on GitHub with 436 stars. Among its 3 catalogued features are speaker diarization, audio segmentation, and pyannote integration.
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