137 citations · 168 across the 5 of their papers we have counts for
5 papers
End-to-End Neural Speech Coding for Real-Time Communications
Xue Jiang, Xiulian Peng, Chengyu Zheng +3
Deep-learning based methods have shown their advantages in audio coding over traditional ones but limited attention has been paid on real-time communications (RTC). This paper prop…
Phoneme-based Distribution Regularization for Speech Enhancement
Yajing Liu, Xiulian Peng, Zhiwei Xiong +1
Existing speech enhancement methods mainly separate speech from noises at the signal level or in the time-frequency domain. They seldom pay attention to the semantic information of…
Interactive Speech and Noise Modeling for Speech Enhancement
Chengyu Zheng, Xiulian Peng, Yuan Zhang +2
Speech enhancement is challenging because of the diversity of background noise types. Most of the existing methods are focused on modelling the speech rather than the noise. In thi…
End-to-End United Video Dehazing and Detection
Boyi Li, Xiulian Peng, Zhangyang Wang +2
The recent development of CNN-based image dehazing has revealed the effectiveness of end-to-end modeling. However, extending the idea to end-to-end video dehazing has not been expl…
An All-in-One Network for Dehazing and Beyond
Boyi Li, Xiulian Peng, Zhangyang Wang +2
This paper proposes an image dehazing model built with a convolutional neural network (CNN), called All-in-One Dehazing Network (AOD-Net). It is designed based on a re-formulated a…