Using Separate Losses For Speech And Noise In Mask-Based Speech Enhancement

Estimating time-frequency domain masks for speech enhancement using deep learning approaches has recently become a popular field in research. In this paper, we propose a novel components loss (CL) for the training of neural networks for speech enhancement
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