The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more ā
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whisper-diarization reviews and mentions
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MacWhisper: Transcribe audio files on your Mac
https://github.com/MahmoudAshraf97/whisper-diarization
This project has been alright for transcribing audio with speaker diarization. A big finicky. The OpenAI model is better than other paid products(Descript, Riverside) so Iām looking forward to trying MacWhisper.
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Faster Whisper Transcription with CTranslate2
The project page mentions whisper-diarization (speaker recognition) as a user of faster-whisper. I've been in the market for that, definitely going to try it out.
https://github.com/MahmoudAshraf97/whisper-diarization
- GitHub - MahmoudAshraf97/whisper-diarization: Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
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AI or technique for distinguishing between speakers for podcast?
Here
- Services for transcription
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A note from our sponsor - WorkOS
workos.com | 28 Apr 2024
Stats
MahmoudAshraf97/whisper-diarization is an open source project licensed under BSD 2-clause "Simplified" License which is an OSI approved license.
The primary programming language of whisper-diarization is Jupyter Notebook.
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