A convolutional recurrent neural network with attention framework for speech separation in monaural recordings

A convolutional recurrent neural network with attention framework for speech separation in monaural recordings

Abstract Most speech separation studies in monaural channel use only a single type of network, and the separation effect is typically not satisfactory, posing difficulties for high quality speech separation. In this study, we propose a convolutional recurrent neural network with an attention (CRNN-A...

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Bibliographic Details
Main Authors: Chao Sun, Min Zhang, Ruijuan Wu, Junhong Lu, Guo Xian, Qin Yu, Xiaofeng Gong, Ruisen Luo
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/d0e7c3a33d6b4689a893b61ff127b46f
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