| Panns: Large-scale pretrained audio neural networks for audio pattern recognition Q Kong, Y Cao, T Iqbal, Y Wang, W Wang, MD Plumbley IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2880-2894, 2020 | 585 | 2020 |
| 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 | 246 | 2018 |
| 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 | 146 | 2011 |
| 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 | 113 | 2018 |
| 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 | 111 | 2015 |
| 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 | 108 | 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 (TASLP) 27 (4 …, 2019 | 105 | 2019 |
| Blind source separation: Advances in theory, algorithms and applications GR Naik, W Wang Springer, 2014 | 105 | 2014 |
| Blind source separation GR Naik, W Wang Berlin: Springer 10, 978-3, 2014 | 105 | 2014 |
| 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 | 98 | 2005 |
| 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 | 96 | 2020 |
| 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 | 92 | 2017 |
| Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy Y Cao, Q Kong, T Iqbal, F An, W Wang, MD Plumbley arXiv preprint arXiv:1905.00268, 2019 | 89 | 2019 |
| 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 | 87 | 2019 |
| 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 | 86* | 2008 |
| 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 | 85 | 2019 |
| IENet: Interacting embranchment one stage anchor free detector for orientation aerial object detection Y Lin, P Feng, J Guan, W Wang, J Chambers arXiv preprint arXiv:1912.00969, 2019 | 84 | 2019 |
| 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 | 82 | 2005 |
| 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 | 80 | 2014 |
| Deep neural network baseline for DCASE challenge 2016 Q Kong, I Sobieraj, W Wang, MD Plumbley Proceedings of DCASE 2016, 2016 | 79 | 2016 |
Mark D. PlumbleyCentre for Vision, Speech and Signal Processing (CVSSP), University of SurreyVerified email at surrey.ac.uk
