Comments (4)
Hey thanks,
it's actually due to the commit today #9 .
As you already noted, the offset is wrong, which simply means that the sampling rates are not correct.
I just fixed that, it was just the indent of a single line in forward.py
.
Line 40 in 32ea64a
I did a fresh pull and ran the code and got the following:
Thanks for noticing!
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Hey there, probably not, I forgot which model I used for that README. Also I fixed a bug that was there before, which used a wrong sampling rate, so that might be it. Even though that sampling rate error is generally not a big problem.
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Thanks. By the way, is "onset" and "offset" means second? If that, the VAD result could be shown bellow, which means drop a lot of speech.
Also, I tried all pretrained models, the biggest offset is 1.92, which also means drop some speech.
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Thank you very much!
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Related Issues (15)
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