Adversarial Feature-Mapping for Speech Enhancement

6 Sep 2018Zhong MengJinyu LiYifan GongBiing-HwangJuang

Feature-mapping with deep neural networks is commonly used for single-channel speech enhancement, in which a feature-mapping network directly transforms the noisy features to the corresponding enhanced ones and is trained to minimize the mean square errors between the enhanced and clean features. In this paper, we propose an adversarial feature-mapping (AFM) method for speech enhancement which advances the feature-mapping approach with adversarial learning... (read more)

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