41 citations · 90 across the 7 of their papers we have counts for
5 papers · 1 filter
UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-noise Ratio Condition
Xiang Hao, Xiangdong Su, Zhiyu Wang +2
Speech enhancement at extremely low signal-to-noise ratio (SNR) condition is a very challenging problem and rarely investigated in previous works. This paper proposes a robust spee…
FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement
Xiang Hao, Xiangdong Su, Radu Horaud +1
This paper proposes a full-band and sub-band fusion model, named as FullSubNet, for single-channel real-time speech enhancement. Full-band and sub-band refer to the models that inp…
An Edge Information and Mask Shrinking Based Image Inpainting Approach
Huali Xu, Xiangdong Su, Meng Wang +2
In the image inpainting task, the ability to repair both high-frequency and low-frequency information in the missing regions has a substantial influence on the quality of the resto…
SNR-Based Teachers-Student Technique for Speech Enhancement
Xiang Hao, Xiangdong Su, Zhiyu Wang +3
It is very challenging for speech enhancement methods to achieves robust performance under both high signal-to-noise ratio (SNR) and low SNR simultaneously. In this paper, we propo…
Sub-Band Knowledge Distillation Framework for Speech Enhancement
Xiang Hao, Shixue Wen, Xiangdong Su +3
In single-channel speech enhancement, methods based on full-band spectral features have been widely studied. However, only a few methods pay attention to non-full-band spectral fea…