A Single Channel Speech Separation Algorithm Based on TCN Network
The encoder module of the end-to-end speech separation only uses a layer of convolutional neural network,which cannot extract the deeper features of the speech signal.An end-to-end sin-gle-channel speech separation based on the temporal convolutional network(TCN)is proposed in this paper.The TCN has flexible receptive field,can input variable sequences,occupies less memo-ry,and has stable gradient.The Chinese and English data sets are used to simulate the proposed end-to-end single-channel speech separation algorithm based on the TCN.The experimental results show that the proposed algorithm has improved separation results compared with the TasNet mod-el.
single channelspeech separationdeep learningsource-to-distortion ratiosource-to-ar-tifact ratiosource-to-interference ratio
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