Yong Xu
Yong Xu
Principal Researcher, 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
9582015
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
7532014
Large-scale weakly supervised audio classification using gated convolutional neural network
Yong Xu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley
ICASSP2018, 2018
182*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
1112014
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
992015
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
892018
Dynamic noise aware training for speech enhancement based on deep neural networks.
Y Xu, J Du, LR Dai, CH Lee
INTERSPEECH, 2670-2674, 2014
822014
Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging
Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley
IJCNN2017, 2017
78*2017
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
762017
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
722019
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
632014
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
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
612019
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
54*2017
Weakly Labelled AudioSet Tagging With Attention Neural Networks
Q Kong, C Yu, Y Xu, T Iqbal, W Wang, MD Plumbley
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (11 …, 2019
512019
A Joint Detection-Classification Model for Audio Tagging of Weakly Labelled Data
Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark Plumbley
ICASSP 2017, 2017
49*2017
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
462019
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
462015
DCASE 2018 Challenge Surrey Cross-task convolutional neural network baseline
Q Kong, T Iqbal, Y Xu, W Wang, MD Plumbley
DCASE2018 Workshop, 2018
432018
Hierarchical Deep Neural Network for Multivariate Regression
jun du, yong xu
Pattern Recognition, 2016
42*2016
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