2016
Discriminative deep recurrent neural networks for monaural speech separation
ICASSP 2016accepted
Deep neural network is now a new trend towards solving different problems in speech processing. In this paper, we propose a discriminative deep recurrent neural network (DRNN) model for monaural speech separation. Our idea is to construct DRNN as a regression model to discover the deep structure and…