We've updated our Disfluency Detection model to improve the accuracy of timestamps for disfluency words.
By default, disfluencies such as "um" or "uh" and "hm" are automatically excluded from transcripts. However, we allow customers to include these filler words by simply setting the
disfluencies parameter to
true in their POST request to
/v2/transcript, which enables our Disfluency Detection model.
More info and code examples can be found here.