| 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 | 795 | 2015 |
| 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 | 657 | 2014 |
| Large-scale weakly supervised audio classification using gated convolutional neural network Yong Xu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley ICASSP2018, 2018 | 149* | 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 | 106 | 2014 |
| 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 | 81 | 2015 |
| 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 | 75 | 2018 |
| Dynamic noise aware training for speech enhancement based on deep neural networks. Y Xu, J Du, LR Dai, CH Lee INTERSPEECH, 2670-2674, 2014 | 70 | 2014 |
| 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 | 65 | 2017 |
| Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley IJCNN2017, 2017 | 64* | 2017 |
| 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 | 61 | 2014 |
| 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 | 59 | 2014 |
| 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 | 57 | 2019 |
| 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 | 48 | 2019 |
| 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 | 43* | 2017 |
| A Joint Detection-Classification Model for Audio Tagging of Weakly Labelled Data Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark Plumbley ICASSP 2017, 2017 | 42* | 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 | 37 | 2015 |
| 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 | 34 | 2019 |
| DCASE 2018 Challenge Surrey Cross-task convolutional neural network baseline Q Kong, T Iqbal, Y Xu, W Wang, MD Plumbley DCASE2018 Workshop, 2018 | 34 | 2018 |
| Hierarchical Deep Neural Network for Multivariate Regression jun du, yong xu Pattern Recognition, 2016 | 33* | 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 | 31 | 2014 |
Wenwu WangProfessor, Centre for Vision Speech Signal Processing (CVSSP), University of Surrey, UKVerified email at surrey.ac.uk
