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When I set initial_prompt='Some phrase here' I end up with ums and uhs throughout the transcription.
Adding the token_ids for 'um', 'Um', 'uh', and 'Uh' to suppress_tokens= [449, 3232, 40937, 27727] doesn't eliminate them.
I tried adding these same token_id to the 'suppress_ids' set in config.json and leaving suppress_tokens set to default (-1) and that doesn't make a difference either.
Is there something about using initial_prompt that is causing either suppress_tokens to be ignored, or promoting the model to include the speech disfluencies?? I'm not sure which is it is, but no matter what prompt I use, I end up with lot of ums and uhs in the resulting transcription.
Thank you in advance for any thoughts or guidance you might have on this.
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When I set
initial_prompt='Some phrase here'
I end up with ums and uhs throughout the transcription.Adding the token_ids for 'um', 'Um', 'uh', and 'Uh' to
suppress_tokens= [449, 3232, 40937, 27727]
doesn't eliminate them.I tried adding these same token_id to the 'suppress_ids' set in config.json and leaving suppress_tokens set to default (-1) and that doesn't make a difference either.
Is there something about using
initial_prompt
that is causing eithersuppress_tokens
to be ignored, or promoting the model to include the speech disfluencies?? I'm not sure which is it is, but no matter what prompt I use, I end up with lot of ums and uhs in the resulting transcription.Thank you in advance for any thoughts or guidance you might have on this.
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