2019
A Fully Convolutional Neural Network for Complex Spectrogram Processing in Speech Enhancement
ICASSP 2019accepted
In this paper we propose a fully convolutional neural network (CNN) for complex spectrogram processing in speech enhancement. The proposed CNN consists of one-dimensional (1-d) convolution and frequency-dilated 2-d convolution, and incorporates a residual learning and skip-connection structure. Comp…