Improve Speaker Diarization Accuracy ($1500)

[aaravgarg]

We need improved speaker diarization. Right now, we just rely on Deepgram for speaker diarization, which is not good enough.

We need to look into libraries like Pyannote or an equivalent solution to add another layer of diarization for much-improved results and higher accuracy.

The error rate in diarization should be reduced to at least half of what it currently is.

To claim bounty you should also:

• find our current diarization error rate
• compare your solution to our current error rate in speaker detection accuracy
• your error rate in speaker labelling must be <50% of our current system's error rate in speaker labelling

[aaravgarg]

@Hormold

[krushnarout]

@aaravgarg If no one working, I can take this

[aaravgarg]

@aaravgarg If no one working, I can take this

Sure, feel free to try out. What's your action plan for this btw