2020
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
NeurIPS 2020poster
Several recent work on speech synthesis have employed generative adversarial networks (GANs) to produce raw waveforms. Although such methods improve the sampling efficiency and memory usage, their sample quality has not yet reached that of autoregressive and flow-based generative models. In this wor…