I'm trying to figure out the convolutional architecture of Dilated Causal Convolutions as stated in WaveNet paper.
I found out that this implementation has this Skip, Gated and Residual convolutions added, but i couldn't find any references about this in the original paper.
I understand that this kind of convolutions are not originally created by WaveNet, and is also user in many other contexts since 1980, but i'd like to know if WaveNet really used this architecture or it's just an optimization of the author of this repository.
I'm trying to figure out the convolutional architecture of Dilated Causal Convolutions as stated in WaveNet paper.
I found out that this implementation has this Skip, Gated and Residual convolutions added, but i couldn't find any references about this in the original paper.
I understand that this kind of convolutions are not originally created by WaveNet, and is also user in many other contexts since 1980, but i'd like to know if WaveNet really used this architecture or it's just an optimization of the author of this repository.