| 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 | 583 | 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 |
| 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 |
| 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 27 (4), 777-787, 2019 | 105 | 2019 |
| 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 |
| Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy Y Cao, Q Kong, T Iqbal, F An, W Wang, MD Plumbley Workshop on Detection and Classification of Acoustic Scenes and Events, 30-34, 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 |
| 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 | 84 | 2019 |
| Deep neural network baseline for DCASE challenge 2016 Q Kong, I Sobieraj, W Wang, M Plumbley Proceedings of DCASE 2016, 2016 | 79 | 2016 |
| Multi-level attention model for weakly supervised audio classification C Yu, KS Barsim, Q Kong, B Yang Workshop on the Detection and Classification of Acoustic Scenes and Events …, 2018 | 77 | 2018 |
| Attention-based convolutional neural networks for acoustic scene classification Z Ren, Q Kong, K Qian, MD Plumbley, B Schuller Workshop on the Detection and Classification of Acoustic Scenes and Events …, 2018 | 72 | 2018 |
| DCASE 2018 Challenge baseline with convolutional neural networks Q Kong, T Iqbal, Y Xu, W Wang, MD Plumbley Workshop on the Detection and Classification of Acoustic Scenes and Events …, 2018 | 68* | 2018 |
| Attention and localization based on a deep convolutional recurrent model for weakly supervised audio tagging Y Xu, Q Kong, Q Huang, W Wang, MD Plumbley arXiv preprint arXiv:1703.06052, 2017 | 60 | 2017 |
| Attention-based atrous convolutional neural networks: Visualisation and understanding perspectives of acoustic scenes Z Ren, Q Kong, J Han, MD Plumbley, BW Schuller ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 57 | 2019 |
| High-resolution piano transcription with pedals by regressing onset and offset times Q Kong, B Li, X Song, Y Wan, Y Wang IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 3707-3717, 2021 | 55 | 2021 |
| A joint detection-classification model for audio tagging of weakly labelled data Q Kong, Y Xu, W Wang, MD Plumbley 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 54 | 2017 |
| Decoupling magnitude and phase estimation with deep resunet for music source separation Q Kong, Y Cao, H Liu, K Choi, Y Wang arXiv preprint arXiv:2109.05418, 2021 | 53 | 2021 |
| An improved event-independent network for polyphonic sound event localization and detection Y Cao, T Iqbal, Q Kong, F An, W Wang, MD Plumbley ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 47* | 2021 |
| Deep learning-based energy disaggregation and on/off detection of household appliances J Jiang, Q Kong, MD Plumbley, N Gilbert, M Hoogendoorn, DM Roijers ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (3), 1-21, 2021 | 47 | 2021 |
Mark D. PlumbleyCentre for Vision, Speech and Signal Processing (CVSSP), University of SurreyПотвърден имейл адрес: surrey.ac.uk
