Domain adversarial training for speech enhancement
The performance of deep learning approaches to speech enhancement degrades significantly in face of mismatch between training and testing. In this paper, we propose a domain adversarial training technique for unsupervised domain transfer, that 1) overcomes domain mismatch, and 2) provides a solution...
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Main Authors: | , , , |
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其他作者: | |
格式: | Conference or Workshop Item |
語言: | English |
出版: |
2020
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在線閱讀: | https://hdl.handle.net/10356/144786 |
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