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Have worked and implemented a speaker diarization system where the software had to distinguish and find out the timestamps between two speaker changes in a continuous audio file with multiple speakers. This project was done for honeywell hackathon.

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Speaker-Diarization-

Implemented a speaker diarization system where the software had to distinguish and find out the timestamps between two speaker changes in a continuous audio file with multiple speakers. This project was done for honeywell hackathon.

Working

Here, bayseian criteria function has been used to do speaker diarization
To run, simply change the .wav file in the code and run the .py file. The wav file sample is given. The input wav file should be similar to that format

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Have worked and implemented a speaker diarization system where the software had to distinguish and find out the timestamps between two speaker changes in a continuous audio file with multiple speakers. This project was done for honeywell hackathon.

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