Closed dathudeptrai closed 3 years ago
Multi-band MelGAN G (load from weights) and PWGAN D (from scratch) let me adapt the LJSpeech model to my male speakers in less than 2 hours
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Parallel Wavegan with tensorflow now supported. Please see here to get more infomation. We strongly recommend the users use pytorch parallel wavegan implementation ParallelWaveGAN to training (very stable) then convert the weight to our tensorflow implementation (see notebook) to accelerate inference speed and enhance deployability. The tensorflow training code is provided but not yet fully test, we tried to train around 150k steps and everything seems fine so far. We would like to thank Tomoki Hayashi for his pytorch parallel wavegan implementation.