In this paper, we study the problem of learning Graph Convolutional Networks (GCNs) for regression. Current architectures of GCNs are limited to the small receptive field of convolution filters and ...

Deep neural network is very popular for performing various tasks in the field of speech signal processing nowdays. This work mainly studies the problem of source separation under single channel ...