8 citations · 19 across the 19 of their papers we have counts for
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eess.AS2021★ 4 cited
VSEGAN: Visual Speech Enhancement Generative Adversarial Network
Xinmeng Xu, Yang Wang, Dongxiang Xu +4
Speech enhancement is an essential task of improving speech quality in noise scenario. Several state-of-the-art approaches have introduced visual information for speech enhancement…
eess.AS2021★ 2 cited
AMFFCN: Attentional Multi-layer Feature Fusion Convolution Network for Audio-visual Speech Enhancement
Xinmeng Xu, Jianjun Hao
Audio-visual speech enhancement system is regarded to be one of promising solutions for isolating and enhancing speech of desired speaker. Conventional methods focus on predicting…
eess.AS2021
Multi-layer Feature Fusion Convolution Network for Audio-visual Speech Enhancement
Xinmeng Xu, Jianjun Hao
Speech enhancement can potentially benefit from the visual information from the target speaker, such as lip movement and facial expressions, because the visual aspect of speech is…