Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network

被引：0
|
作者：
Hu, Xiaolin [1 ]
Li, Kai [1 ]
Zhang, Weiyi [1 ]
Luo, Yi [2 ]
Lemercier, Jean-Marie [3 ]
Gerkmann, Timo [3 ]
机构：
[1] Department of Computer Science and Technology, Tsinghua Laboratory of Brain and Intelligence (THBI), IDG/McGovern Institute of Brain Research Tsinghua University, Beijing, China
[2] Department of Electrical Engineering, Columbia University, NY, United States
[3] Department of Informatics, University of Hamburg, Hamburg, Germany
来源：
Advances in Neural Information Processing Systems | 2021年 / 27卷
基金：
中国国家自然科学基金;
关键词：
Bio-inspired architectures - Bottom up - Bottom-up/top-down - Lateral connections - Neural network architecture - Separation performance - Speech separation - Synchronous updating - Time-scales - Traditional approaches;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：22509 / 22522
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