WaveNODE: A Continuous Normalizing Flow for Speech Synthesis
Table 5: Comparison of WaveNODE models with different dilations.
['Model', 'Dilation (at  [ITALIC] i-th layer)', 'CLL', 'MOS']
WaveNODE is composed of only a few flow steps unlike the conventional flow-based models, which might result in the small receptive field. In order to capture the long-range temporal dependencies in audio signals, we basically set the base of dilation to 3 in WaveNODE for the previous experiments. To verify the effect of dilation, we trained the WaveNODE model with dilation of 2i at the i-th layer and evaluated performance in terms of MOS and CLL. We found that WaveNODE produces a trembling sound when the dilation is a multiple of 2 due to the narrow receptive field.