Reviews: MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

The paper describes a successful approach for non-autoregressive spectrogram inversion based on Generative Adversarial Networks. The reviewers noted that even though the results are not at the level of state-of-the-art, the paper addresses a difficult and timely problem, with a convincing experimental validation and ablation study. The rebuttal addressed the main concerns of the reviewers; the authors should nonetheless make sure to address other concerns in the camera-ready version.