40 citations · 72 across the 10 of their papers we have counts for
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cs.SD2019★ 9 cited
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…
cs.SD2019★ 5 cited
CNN depth analysis with different channel inputs for Acoustic Scene Classification
Sergi Perez-Castanos, Javier Naranjo-Alcazar, Pedro Zuccarello +2
Acoustic scene classification (ASC) has been approached in the last years using deep learning techniques such as convolutional neural networks or recurrent neural networks. Many st…