Russell Sammut-Bonnici

> Hi, > you can make target and input last dimension(dim=2) the same size @allenhung1025 Where is this adjustment required to be made? I'm experiencing the same issue

For both of you, I think there may be something wrong with how the inference from voice_conversion has been prepared for inference from wavenet. Could either of you provide a...

Thank you @yumahayomaso. Looking into this ... wavenet might be expecting more data to infer in parallel then its reading and then just weirdly returning some empty data. This could...

@yumahayomaso thanks for trying that. Sorry to hear it didn't work. I'm not entirely sure what could be the problem. Will continue looking into it. And just to check -...

Excuse the delayed response. Could you try with multiple files and let me know if the problem still persists? Maybe try having 10 utterance files in the inferdir (whether new...

Great, thank you! Look forward to this,

Hey, are there any updates? Would be great to know how far down the roadmap this issue could be tackled.

Would be very interested in this feature too. Surprised that this is not already included... I guess not previously tried out for GCP. Blocked by this at the moment.

Thanks > You can find `mel_features.py` in `tensorflow_models/audioset/vggish/`. To fix this and oother import problems just create `tensorflow_models/audioset/__init__.py` and add the line: `from .vggish import mel_features, vggish_params, vggish_slim` > Also,...

> I am also stacking on this step, when I fix the import problem. I got core dumped error as below... (I am using tf 2.5.0) > Anyone can help?...