Robust MelGAN: A robust universal neural vocoder for high-fidelity TTS

Kun Song, Jian Cong, Xinsheng Wang +4

In current two-stage neural text-to-speech (TTS) paradigm, it is ideal to have a universal neural vocoder, once trained, which is robust to imperfect mel-spectrogram predicted from…