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This request is a long and difficult shot, but it would definitely help if we had speaker diarization tools that identifies who spoke and when.
pyAudioAnalysis is one way of doing this, but I haven't tested it.
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Who in a panel was talking.
We would be able to categorize voices (host/speaker/audio testers/audience) and visually lay them out with time stamps.
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This request is a long and difficult shot, but it would definitely help if we had speaker diarization tools that identifies who spoke and when.
pyAudioAnalysis is one way of doing this, but I haven't tested it.
The text was updated successfully, but these errors were encountered: