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MelGAN Residual Block

Introduced by Kumar et al. in MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

The MelGAN Residual Block is a convolutional residual block used in the MelGAN generative audio architecture. It employs residual connections with dilated convolutions. Dilations are used so that temporally far output activations of each subsequent layer has significant overlapping inputs. Receptive field of a stack of dilated convolution layers increases exponentially with the number of layers. Incorporating these into the MelGAN generator allows us to efficiently increase the induced receptive fields of each output time-step. This effectively implies larger overlap in the induced receptive field of far apart time-steps, leading to better long range correlation.

Source: MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Speech Synthesis 7 53.85%
BIG-bench Machine Learning 1 7.69%
Music Generation 1 7.69%
Face Swapping 1 7.69%
Spectral Reconstruction 1 7.69%
Speech Enhancement 1 7.69%
Translation 1 7.69%

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