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wisper_diarization_with_sharepoint_integration

In this repository, we perform the diarization of audio extracted from SharePoint using stable_ts (https://github.com/jianfch/stable-ts/tree/main#visualizing-suppression), speechbrain/spkrec-ecapa-voxceleb's pyannote model, and the pre-processing audio suggested in approaches-to-diarisation(https://github.com/mirix/approaches-to-diarisation/tree/main)

parts of the transcription code.

1 first we import required libraris to audio processing, shareponit conection

2 define the parameters model to stable whisper

3 connect to share pont

4 Extract files from share point al define path to save . txt file in one drive

5 preprocesing file

6 apply model with VAD

7 Apply diarization

8 Save file in one drive

9 delete original audio file from one drive

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In this repository, we perform the diarization of audio extracted from SharePoint using stable_ts, speechbrain/spkrec-ecapa-voxceleb's pyannote model, and the pre-processing audio suggested in approaches-to-diarisation

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