On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification

Javier Naranjo-Alcazar, Sergi Perez-Castanos, Irene Martin-Morato +2

Residual learning is a recently proposed learning framework to facilitate the training of very deep neural networks. Residual blocks or units are made of a set of stacked layers, w…