DMANET: Deep Learning-Based Differential Microphone Arrays for Multi-Channel Speech Separation
Xiaokang Yang, Jianguo Wei · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · 2022
In this paper, we develop a novel differential microphone arrays network (DMANet) for solving the multi-channel speech separation problem. In DMANet we explore a neural network combined to differential microphone arrays (DMAs) beamforming technique. Specifically, a sequence of differential operation is introduced alternately into network. Based on the filter-and-sum network (FaSNet), we show how DMANet significantly improves the separation performance. Numerical experiments demonstrate that the proposed network has a clearly advantageous improvement on SI-SNR with a smaller model.