2018
A Study of Training Targets for Deep Neural Network-Based Speech Enhancement Using Noise Prediction
ICASSP 2018accepted
Several architectures have been proposed for deep neural network (DNN)-based speech enhancement; however, these all utilize training targets related to the clean speech signal. In this paper, we evaluate the performance of several training targets in a noise-prediction DNN framework and compare the…