FurcaNeXt: End-to-End Monaural Speech Separation with Dynamic Gated Dilated Temporal Convolutional Networks
MMM (1), pp. 653-665, 2020.
Deep dilated temporal convolutional networks (TCN) have been proved to be very effective in sequence modeling. In this paper we propose several improvements of TCN for end-to-end approach to monaural speech separation, which consists of (1) multi-scale dynamic weighted gated TCN with a pyramidal structure (FurcaPy), (2) gated TCN with int...More
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