Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram

25 Oct 2019Ryuichi YamamotoEunwoo SongJae-Min Kim

We propose Parallel WaveGAN, a distillation-free, fast, and small-footprint waveform generation method using a generative adversarial network. In the proposed method, a non-autoregressive WaveNet is trained by jointly optimizing multi-resolution spectrogram and adversarial loss functions, which can effectively capture the time-frequency distribution of the realistic speech waveform... (read more)

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