Yong Xu
Yong Xu
Senior Research Scientist, Tencent America, Bellevue, USA
Verified email at tencent.com - Homepage
Title
Cited by
Cited by
Year
A Regression Approach to Speech Enhancement Based on Deep Neural Networks
Y Xu, J Du, LR Dai, CH Lee
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (1), 7 - 19, 2015
8282015
An experimental study on speech enhancement based on deep neural networks
Y Xu, J Du, LR Dai, CH Lee
IEEE Signal processing letters 21 (1), 65-68, 2014
6762014
Large-scale weakly supervised audio classification using gated convolutional neural network
Yong Xu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley
ICASSP2018, 2018
145*2018
Robust speech recognition with speech enhanced deep neural networks.
J Du, Q Wang, T Gao, Y Xu, LR Dai, CH Lee
INTERSPEECH, 616-620, 2014
1052014
Multi-Objective Learning and Mask-Based Post-Processing for Deep Neural Network Based Speech Enhancement
Y Xu, J Du, Z Huang, LR Dai, CH Lee
Interspeech2015, 2015
882015
Audio set classification with attention model: A probabilistic perspective
Q Kong, Y Xu, W Wang, MD Plumbley
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
762018
Dynamic noise aware training for speech enhancement based on deep neural networks.
Y Xu, J Du, LR Dai, CH Lee
INTERSPEECH, 2670-2674, 2014
702014
Unsupervised feature learning based on deep models for environmental audio tagging
Y Xu, Q Huang, W Wang, P Foster, S Sigtia, PJB Jackson, MD Plumbley
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (6), 1230 …, 2017
672017
Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging
Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley
IJCNN2017, 2017
67*2017
Sound Event Detection and Time–Frequency Segmentation from Weakly Labelled Data
Q Kong, Y Xu, I Sobieraj, W Wang, MD Plumbley
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (4), 777-787, 2019
642019
Speech separation based on improved deep neural networks with dual outputs of speech features for both target and interfering speakers
Y Tu, J Du, Y Xu, L Dai, CH Lee
Chinese Spoken Language Processing (ISCSLP), 2014 9th International …, 2014
622014
Speech separation of a target speaker based on deep neural networks
J Du, Y Tu, Y Xu, L Dai, CH Lee
2014 12th International Conference on Signal Processing (ICSP), 473-477, 2014
592014
Cross-task learning for audio tagging, sound event detection and spatial localization: DCASE 2019 baseline systems
Q Kong, Y Cao, T Iqbal, Y Xu, W Wang, MD Plumbley
arXiv preprint arXiv:1904.03476, 2019
512019
Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging
Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley
INTERSPEECH2017, 2017
48*2017
A Joint Detection-Classification Model for Audio Tagging of Weakly Labelled Data
Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark Plumbley
ICASSP 2017, 2017
45*2017
DNN-Based Speech Bandwidth Expansion and Its Application to Adding High-Frequency Missing Features for Automatic Speech Recognition of Narrowband Speech
K Li, Z Huang, Y Xu, CH Lee
Sixteenth Annual Conference of the International Speech Communication …, 2015
372015
A comprehensive study of speech separation: spectrogram vs waveform separation
F Bahmaninezhad, J Wu, R Gu, SX Zhang, Y Xu, M Yu, D Yu
Interspeech2019, 2019
362019
DCASE 2018 Challenge Surrey Cross-task convolutional neural network baseline
Q Kong, T Iqbal, Y Xu, W Wang, MD Plumbley
DCASE2018 Workshop, 2018
362018
Hierarchical Deep Neural Network for Multivariate Regression
jun du, yong xu
Pattern Recognition, 2016
34*2016
Global variance equalization for improving deep neural network based speech enhancement
Y Xu, J Du, LR Dai, CH Lee
2014 IEEE China Summit & International Conference on Signal and Information …, 2014
302014
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