Is there any plan to open source the diarization model?
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- Dominant language
- Python
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Description
As blog say:
For the original audio, we first use an internal speaker diarization model to segment and annotate speech and speakers. Based on the pre-trained base model, the performance of our speaker diarization model is better than the open source speaker diarization model pyannote-speaker-diarization-3.1 and its commercial version pyannoteAI.
- is this diarization model mentioned here the same as whisper-d or another model in fact?
- the reason of choosing model trained based on whisper-v2 (whisper-d) but not whisper-v3?
Thanks for ur reply
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Research direction
Review the linked blog and the repository context around the speaker diarization model, including the references to whisper-d, Whisper v2, Whisper v3, and pyannote-speaker-diarization-3.1. Done means providing a clear answer about the model's identity, the v2 choice, and whether there is a plan to open source it.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100