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Channel-Attention Dense U-Net For Multichannel Speech Enhancement

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IEEE ICASSP 2020 Virtual Conference May 2020

Supervised deep learning has gained significant attention for speech enhancement recently. The state-of-the-art deep learning methods perform the task by learning a ratio/binary mask that is applied to the mixture in the time-frequency domain to produce c

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Channel-Attention Dense U-Net For Multichannel Speech Enhancement

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Supervised deep learning has gained significant attention for speech enhancement recently. The state-of-the-art deep learning methods perform the task by learning a ratio/binary mask that is applied to the mixture in the time-frequency domain to produce c