A multichannel learning-based approach for sound source separation in reverberant environments

A multichannel learning-based approach for sound source separation in reverberant environments

Abstract In this paper, a multichannel learning-based network is proposed for sound source separation in reverberant field. The network can be divided into two parts according to the training strategies. In the first stage, time-dilated convolutional blocks are trained to estimate the array weights...

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Detalles Bibliográficos
Autores principales: You-Siang Chen, Zi-Jie Lin, Mingsian R. Bai
Formato: article
Lenguaje:EN
Publicado: SpringerOpen 2021
Materias:
Source separation and dereverberation
Multichannel learning-based network
Time-dilated convolution network
U-net
Beamforming
Acoustics. Sound
QC221-246
Electronic computers. Computer science
QA75.5-76.95
Acceso en línea:https://doaj.org/article/a947a00711ff4aee90a2d3f7edda03a6
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https://doaj.org/article/a947a00711ff4aee90a2d3f7edda03a6

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