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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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
SpringerOpen
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/a947a00711ff4aee90a2d3f7edda03a6 |
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