activity
20202022
most citedAttention-Guided Generative Adversarial Network for Whisper to Normal Speech Conversion

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Combating Uncertainty and Class Imbalance in Facial Expression Recognition

Jiaxiang Fan, Jian Zhou, Xiaoyu Deng +3

Recognition of facial expression is a challenge when it comes to computer vision. The primary reasons are class imbalance due to data collection and uncertainty due to inherent noi…

cs.SD2022★ 1 cited

Multi-Scale Feature Fusion Transformer Network for End-to-End Single Channel Speech Separation

Yinhao Xu, Jian Zhou, Liang Tao +1

Recently studies on time-domain audio separation networks (TasNets) have made a great stride in speech separation. One of the most representative TasNets is a network with a dual-p…

cs.SD2021★ 1 cited

CycleGAN with Dual Adversarial Loss for Bone-Conducted Speech Enhancement

Qing Pan, Teng Gao, Jian Zhou +3

Compared with air-conducted speech, bone-conducted speech has the unique advantage of shielding background noise. Enhancement of bone-conducted speech helps to improve its quality…

cs.SD2021★ 4 cited

Attention-Guided Generative Adversarial Network for Whisper to Normal Speech Conversion

Teng Gao, Jian Zhou, Huabin Wang +2

Whispered speech is a special way of pronunciation without using vocal cord vibration. A whispered speech does not contain a fundamental frequency, and its energy is about 20dB low…

cs.CV2020★ 1 cited

Multistage Model for Robust Face Alignment Using Deep Neural Networks

Huabin Wang, Rui Cheng, Jian Zhou +2

An ability to generalize unconstrained conditions such as severe occlusions and large pose variations remains a challenging goal to achieve in face alignment. In this paper, a mult…