A joint-loss approach for speech enhancement via single-channel neural network and MVDR beamformer
Recent developments of noise reduction involves the use of neural beamforming. While some success is achieved, these algorithms rely solely on the gain of the beamformer to enhance the noisy signals. We propose a framework that comprises two stages where the first-stage neural network aims to achiev...
| 主要な著者: | , , , |
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| その他の著者: | |
| フォーマット: | Conference Paper |
| 言語: | English |
| 出版事項: |
2021
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| 主題: | |
| オンライン･アクセス: | https://hdl.handle.net/10356/146260 |