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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
11382015
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
8542014
Large-scale weakly supervised audio classification using gated convolutional neural network
Yong Xu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley
ICASSP2018, 2018
223*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
1162014
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
1122015
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
1062018
Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging
Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley
IJCNN2017, 2017
96*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
922019
Dynamic noise aware training for speech enhancement based on deep neural networks.
Y Xu, J Du, LR Dai, CH Lee
INTERSPEECH, 2670-2674, 2014
892014
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
862017
An overview of deep-learning-based audio-visual speech enhancement and separation
D Michelsanti, ZH Tan, SX Zhang, Y Xu, M Yu, D Yu, J Jensen
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021
812021
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
742019
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
732014
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
712019
Sound event detection of weakly labelled data with CNN-transformer and automatic threshold optimization
Q Kong, Y Xu, W Wang, MD Plumbley
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2450-2460, 2020
682020
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
672014
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
662019
DCASE 2018 Challenge Surrey Cross-task convolutional neural network baseline
Q Kong, T Iqbal, Y Xu, W Wang, MD Plumbley
DCASE2018 Workshop, 2018
602018
Time domain audio visual speech separation
J Wu, Y Xu, SX Zhang, LW Chen, M Yu, L Xie, D Yu
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
592019
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
58*2017
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