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RicherMans avatar RicherMans commented on August 12, 2024 1

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.

wav = librosa.resample(wav, sr, target_sr=SAMPLE_RATE)

I did a fresh pull and ran the code and got the following:

image

Thanks for noticing!

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RicherMans avatar RicherMans commented on August 12, 2024

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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wcangyu avatar wcangyu commented on August 12, 2024

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.
screenshot-20211008-163224
Also, I tried all pretrained models, the biggest offset is 1.92, which also means drop some speech.

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wcangyu avatar wcangyu commented on August 12, 2024

Thank you very much!

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