4 citations · 8 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Box Re-Ranking: Unsupervised False Positive Suppression for Domain Adaptive Pedestrian Detection
Weijie Chen, Yilu Guo, Shicai Yang +7
False positive is one of the most serious problems brought by agnostic domain shift in domain adaptive pedestrian detection. However, it is impossible to label each box in countles…