Comments (4)
Hi,
can you please specify what back-end do you use? faster-whisper or whisper_timestamped? I think it has an impact
from whisper_streaming.
OK, thanks for feedback. #36 is a correct fix, I'm merging it
from whisper_streaming.
It still fails when I run with Whisper large-v3. My command simply uses the default for all arguments except for the model:
python whisper_online.py audio.wav --model large-v3
Because the large-v3 model of faster-whisper was just supported recently, it might be not tested. But I found the cause is the abnormal string like " . Welcome to Humane. This is the Humane AI pin."
. It would be split into 3 sentences: [" .", "Welcome to Humane.", "This is the Humane AI pin."]
. The first sentence " ." would only assign beg, but not end. This gap will destroy all remaining processes.
It can be simply solved by handling the case of the one-word sentence, but not elegant. I should study your algorithm first.
from whisper_streaming.
OK. Please reopen if you're sure you found a bug.
v3 is unrelated issue -- #45
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