41 citations · 90 across the 7 of their papers we have counts for
7 papers
Improving CTC-AED model with integrated-CTC and auxiliary loss regularization
Daobin Zhu, Xiangdong Su, Hongbin Zhang
Connectionist temporal classification (CTC) and attention-based encoder decoder (AED) joint training has been widely applied in automatic speech recognition (ASR). Unlike most hybr…
Coarse-to-Fine Recursive Speech Separation for Unknown Number of Speakers
Zhenhao Jin, Xiang Hao, Xiangdong Su
The vast majority of speech separation methods assume that the number of speakers is known in advance, hence they are specific to the number of speakers. By contrast, a more realis…
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…