2019
Incremental Binarization on Recurrent Neural Networks for Single-channel Source Separation
ICASSP 2019accepted
This paper proposes a Bitwise Gated Recurrent Unit (BGRU) network for the single-channel source separation task. Recurrent Neural Networks (RNN) require several sets of weights within its cells, which significantly increases the computational cost compared to the fully-connected networks. To mitigat…