MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Table 3: Mean Opinion Scores
['Model', 'MOS', '95% CI']
Next, in order to compare the performance of MelGAN for inverting ground truth mel-spectrograms to raw audio against existing methods such as WaveNet vocoder, WaveGlow, Griffin-Lim and Ground Truth audio, we run an independent MOS test where the MelGAN model is trained until convergence (around 2.5M iterations). Similar to the ablation study, these comparisons are made on models trained on the LJ Speech Datset.