distorted spectrograms after model

[thepowerfuldeez]

Hi! I tried your pretrained checkpoint in colab and got some extra values at the spectrogram in the first case and broken harmonics in the second case.
First audio is 44100Hz real speech (converted to 24k and then upscaled to 48k).
Second audio is the output of text-to-speech system (22050, upscaled to 44100)

I don't hear any noticeable difference in both audios, is this expected?

this is the spectrogram representation in Audacity. Upper one is before, bottom is after. Mel scale

[zkx06111]

I'm not sure, can you please share the audio file with me?

[thepowerfuldeez]

alright.
before: https://voca.ro/1meOfwM2dIEw
after:https://voca.ro/11L19CihKeI6

[zkx06111]

I think it's probably because our training data is not quite noisy and your input audio is noisy.

[thepowerfuldeez]

second audio is generated from text-to-speech and it's clean, however you see that harmonics became distorted. i cannot share second audio