Wenwu Wang
Wenwu Wang
Professor, Centre for Vision Speech Signal Processing (CVSSP), University of Surrey, UK
Verified email at surrey.ac.uk - Homepage
Title
Cited by
Cited by
Year
Large-scale weakly supervised audio classification using gated convolutional neural network
Y Xu, Q Kong, W Wang, MD Plumbley
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
1452018
Simultaneous Codeword Optimization (SimCO) for Dictionary Update and Learning
W Dai, T Xu, W Wang
IEEE Transactions on Signal Processing 60 (12), 6340-6353, 2011
1252011
Penalty function-based joint diagonalization approach for convolutive blind separation of nonstationary sources
W Wang, S Sanei, JA Chambers
IEEE Transactions on Signal Processing 53 (5), 1654-1669, 2005
922005
Note onset detection via nonnegative factorization of magnitude spectrum
W Wang, Y Luo, JA Chambers, S Sanei
EURASIP Journal on Advances in Signal Processing 2008 (19), 2008
84*2008
Blind source separation: Advances in theory, algorithms and applications
GR Naik, W Wang
Springer, 2014
772014
Blind source separation
GR Naik, W Wang
Berlin: Springer 10, 978-3, 2014
772014
Video assisted speech source separation
W Wang, D Cosker, Y Hicks, S Sanei, J Chambers
Acoustics, Speech, and Signal Processing, 2005. Proceedings.(ICASSP'05 …, 2005
772005
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
Audio assisted robust visual tracking with adaptive particle filtering
V Kılıç, M Barnard, W Wang, J Kittler
IEEE Transactions on Multimedia 17 (2), 186-200, 2015
712015
A multiplicative algorithm for convolutive non-negative matrix factorization based on squared Euclidean distance
W Wang, A Cichocki, JA Chambers
Signal Processing, IEEE Transactions on 57 (7), 2858-2864, 2009
712009
Variable step-size sign natural gradient algorithm for sequential blind source separation
L Yuan, W Wang, JA Chambers
IEEE Signal Processing Letters 12 (8), 589-592, 2005
702005
Deep neural network baseline for DCASE challenge 2016
Q Kong, I Sobieraj, W Wang, MD Plumbley
Proceedings of DCASE 2016, 2016
692016
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
Y Xu, Q Kong, Q Huang, W Wang, MD Plumbley
2017 International Joint Conference on Neural Networks (IJCNN), 3461-3466, 2017
672017
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 (TASLP) 27 (4 …, 2019
642019
Heterogeneous feature selection with multi-modal deep neural networks and sparse group lasso
L Zhao, Q Hu, W Wang
IEEE Transactions on Multimedia 17 (11), 1936-1948, 2015
632015
Audiovisual speech source separation: An overview of key methodologies
B Rivet, W Wang, SM Naqvi, JA Chambers
IEEE Signal Processing Magazine 31 (3), 125-134, 2014
622014
Tensor dictionary learning with sparse tucker decomposition
S Zubair, W Wang
2013 18th International Conference on Digital Signal Processing (DSP), 1-6, 2013
622013
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
A compressed sensing approach for underdetermined blind audio source separation with sparse representation
T Xu, W Wang
2009 IEEE/SP 15th Workshop on Statistical Signal Processing, 493-496, 2009
512009
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