You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The scale of the added gaussian noise is 0.1.
We use the same mel processing.
We did not encounter Nan losses. The SR augmentation is conducted offline, i.e., we synthesize multiple augmented waveforms , extract their WavLM features, store them on disk, and load them as input to the model.
In the proposed SR-augmentation,
when the mel is squeezed, you pad it with the highest frequency bin value and add Gaussian noise.
Can you share the scale of the added gaussian noise?
(I guess it can differ depending on how you preprocess the audio to get the mel.
I am currently using the 'mel_spectrogram_torch' function of https://github.com/jaywalnut310/vits/blob/2e561ba58618d021b5b8323d3765880f7e0ecfdb/mel_processing.py
If you used a different code for mel processing, it would be great to know.)
The text was updated successfully, but these errors were encountered: