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See and the other discussions referred to there. |
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checkout this model which was specifically designed with filler detection in mind: and the accompanying repo and paper: |
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The idea I have is to use it as a presentation trainer. If I could detect the prevalence of filler words like "um, like" etc and report on it - or even produce an alert in real-time of some type, it could be used for presentation training.
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