MahmoudAshraf97/whisper-diarization
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
- Stars
- 5.7k
- Forks
- 504
- Open issues
- 35
- Last push
- 2mo ago
About whisper-diarization
whisper-diarization is a free, open-source AI voice and audio tool by MahmoudAshraf97, written mainly in Jupyter Notebook. Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper. It has 5.7k GitHub stars and 504 forks, and was last updated 2mo ago. It's released under the BSD-2-Clause license, a standard open-source license. According to the project, it works on macOS.
- License
- BSD-2-Clause
- Language
- Jupyter Notebook
- Stars
- 5,663
- Last update
- 2mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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whisper-diarization FAQ
Is whisper-diarization free?
Yes. whisper-diarization is open source and free to use. It's released under the BSD-2-Clause license, a standard open-source license.
Does whisper-diarization run on a Mac?
Yes. According to the project, whisper-diarization works on macOS.
Does whisper-diarization need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is whisper-diarization still maintained?
It was last updated 2mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to whisper-diarization?
Similar free, open-source tools include FunASR, Speech, speechbrain, whisper.cpp.