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Add Speaker diarisation /speaker detection for interview trascription #492

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menelic opened this issue Jun 14, 2023 · 3 comments
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enhancement New feature or request

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@menelic
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menelic commented Jun 14, 2023

Also mentioned in #469 This is implemented in this Whisper gui built in streamlit: https://github.com/jojojaeger/whisper-streamlit (you find the diarisation version here https://github.com/jojojaeger/whisper-streamlit/tree/master/whisper-streamlit-speaker but info on to in readme at the first link) first link) Because yours is a cross platform desktop app, this can become a go-to for many journalists, researchers etc for whom such a feature would be key.

@bfrye26
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bfrye26 commented Jun 20, 2023

I would love this, it is such an easy app to use, and if it had this feature it would be something I use daily!

@johnfelipe
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Pls add this feature

@marrie
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marrie commented Aug 17, 2024

It would actually be wonderful to do this even if it was just "speaker 1" "speaker 2" etc. so
speaker 1: american 1040 requesting IFR
speaker 2: American 1040 go ahead.

you might be able to clean up the transcript then in VsCode for clarity. Thoughts?

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