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

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) framewo...

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Foilsithe in:Sci Rep
Main Authors: Sun, Chao, Zhang, Min, Wu, Ruijuan, Lu, Junhong, Xian, Guo, Yu, Qin, Gong, Xiaofeng, Luo, Ruisen
Formáid: Artigo
Teanga:Inglês
Foilsithe: Nature Publishing Group UK 2021
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Article
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7809293/
https://ncbi.nlm.nih.gov/pubmed/33446851
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-80713-3
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