melgan vocoder is fast, let's integrate it?

[neurlang]

Hello, I've did the required changes to integrate tts cube with melgan vocoder.

The inference is really fast, with wavenet it took 1.5 hour to vocode a few sentences, now it takes literally seconds.

I trained the melgan vocoder for 325 epochs (106170 iterations), it took a day I think and it's already understandable.

Problem is encoder takes so long to train I'm training for days and days and it still says what it wants. I wish a more faster gpu.

It speaks, just not exactly what is in the text file.

The datasets are Japanese and Russian. I want to do a common (multi lingual) model in the future (just for fun).

Is there an interest from others to reproduce my experiment on your dataset?? I can share my code.