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Speech Separation Using an Asynchronous Fully Recurrent Convolutional
  Neural Network

Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network

4 December 2021
Xiaolin Hu
Kai Li
Weiyi Zhang
Yi Luo
Jean-Marie Lemercier
Timo Gerkmann
ArXivPDFHTML

Papers citing "Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network"

11 / 11 papers shown
Title
SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios
SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios
Kai Li
Wendi Sang
Chang Zeng
Runxuan Yang
Guo Chen
Xiaolin Hu
20
2
0
02 Oct 2024
TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation
TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation
Mohan Xu
Kai Li
Guo Chen
Xiaolin Hu
39
0
0
02 Oct 2024
TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down
  Fusion
TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down Fusion
Samuel Pegg
Kai Li
Xiaolin Hu
21
1
0
25 Jan 2024
Subnetwork-to-go: Elastic Neural Network with Dynamic Training and
  Customizable Inference
Subnetwork-to-go: Elastic Neural Network with Dynamic Training and Customizable Inference
Kai Li
Yi Luo
11
2
0
06 Dec 2023
An Efficient Speech Separation Network Based on Recurrent Fusion Dilated
  Convolution and Channel Attention
An Efficient Speech Separation Network Based on Recurrent Fusion Dilated Convolution and Channel Attention
Junyu Wang
15
1
0
09 Jun 2023
BASEN: Time-Domain Brain-Assisted Speech Enhancement Network with
  Convolutional Cross Attention in Multi-talker Conditions
BASEN: Time-Domain Brain-Assisted Speech Enhancement Network with Convolutional Cross Attention in Multi-talker Conditions
Jie M. Zhang
Qingquan Xu
Qiu-shi Zhu
Zhenhua Ling
19
11
0
17 May 2023
Deep neural network techniques for monaural speech enhancement: state of
  the art analysis
Deep neural network techniques for monaural speech enhancement: state of the art analysis
P. Ochieng
22
21
0
01 Dec 2022
Diffusion-based Generative Speech Source Separation
Diffusion-based Generative Speech Source Separation
Robin Scheibler
Youna Ji
Soo-Whan Chung
J. Byun
Soyeon Choe
Min-Seok Choi
DiffM
14
38
0
31 Oct 2022
Sandglasset: A Light Multi-Granularity Self-attentive Network For
  Time-Domain Speech Separation
Sandglasset: A Light Multi-Granularity Self-attentive Network For Time-Domain Speech Separation
Max W. Y. Lam
Jun Wang
Dan Su
Dong Yu
AI4TS
67
49
0
01 Mar 2021
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
183
5,138
0
16 Sep 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks
  and Visual Cortex
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Q. Liao
T. Poggio
194
255
0
13 Apr 2016
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