most citedVSEGAN: Visual Speech Enhancement Generative Adversarial Network

4 citations · 8 across the 4 of their papers we have counts for

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eess.AS2022★ 1 cited

Improving Visual Speech Enhancement Network by Learning Audio-visual Affinity with Multi-head Attention

Xinmeng Xu, Yang Wang, Jie Jia +2

Audio-visual speech enhancement system is regarded as one of promising solutions for isolating and enhancing speech of desired speaker. Typical methods focus on predicting clean sp…

eess.AS2022

GLD-Net: Improving Monaural Speech Enhancement by Learning Global and Local Dependency Features with GLD Block

Xinmeng Xu, Yang Wang, Jie Jia +2

For monaural speech enhancement, contextual information is important for accurate speech estimation. However, commonly used convolution neural networks (CNNs) are weak in capturing…

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…