Multichannel Loss Function for Supervised Speech Source Separation by Mask-based Beamforming

Yoshiki Masuyama, Masahito Togami, Tatsuya Komatsu

In this paper, we propose two mask-based beamforming methods using a deep neural network (DNN) trained by multichannel loss functions. Beamforming technique using time-frequency (T…