duration not predicted correctly

[theAayushbajaj]

I'm training on a custom dataset. The issue is, generated mels (after training forward) aren't equal to the ground truth mels. Due to this WaveRNN could not be trained as some datums would get corrupted during window calculation here.

One corrupted datum looks like this (mel,label pair)

mel_shape = (80, 311)
sig_offset = 79200
label shape (ground truth signal) = (77626,)
Label window shape = (0,)

See, the sig_offset value exceeds the length of the signal. Is there any mistake on my part or any suggestions?

Branch: master
Commit: e4ded5b

[cfrancesco]

Hi,
when producing the mels for WaveRNN (assuming you do want to use the predicted rather than the ground truth ones), you could do a validation step, using the ground truth durations. In this case the predicted mel durations will be equal to the ground truth mels.