SAGRNN: Self-Attentive Gated RNN for Binaural Speaker Separation with
Interaural Cue Preservation

SAGRNN: Self-Attentive Gated RNN for Binaural Speaker Separation with Interaural Cue Preservation

2 September 2020

Yossi Adi

Papers citing "SAGRNN: Self-Attentive Gated RNN for Binaural Speaker Separation with Interaural Cue Preservation"

4 / 4 papers shown

Title
TPARN: Triple-path Attentive Recurrent Network for Time-domain Multichannel Speech Enhancement Ashutosh Pandey Buye Xu Anurag Kumar Jacob Donley P. Calamia DeLiang Wang KELM 19 40 0 20 Oct 2021
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References Pranay Manocha Buye Xu Anurag Kumar 32 44 0 16 Sep 2021
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 104 589 0 08 Jun 2018
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction Zhong-Qiu Wang Jonathan Le Roux DeLiang Wang J. Hershey 96 123 0 26 Apr 2018