| 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 | 1148 | 2020 |
| Best practices for scientific computing G Wilson, DA Aruliah, CT Brown, NP Chue Hong, M Davis, RT Guy, ... PLoS biology 12 (1), e1001745, 2014 | 840 | 2014 |
| Detection and classification of acoustic scenes and events D Stowell, D Giannoulis, E Benetos, M Lagrange, MD Plumbley IEEE Transactions on Multimedia 17 (10), 1733-1746, 2015 | 685 | 2015 |
| Acoustic Scene Classification: Classifying environments from the sounds they produce D Barchiesi, D Giannoulis, D Stowell, MD Plumbley IEEE Signal Processing Magazine 32 (3), 16-34, 2015 | 523 | 2015 |
| AudioLDM: Text-to-audio generation with latent diffusion models H Liu, Z Chen, Y Yuan, X Mei, X Liu, D Mandic, W Wang, MD Plumbley 40th International Conference on Machine Learning (ICML 2023), Honolulu …, 2023 | 406 | 2023 |
| Detection and classification of acoustic scenes and events: Outcome of the DCASE 2016 challenge A Mesaros, T Heittola, E Benetos, P Foster, M Lagrange, T Virtanen, ... IEEE/ACM Transactions on Audio, Speech and Language Processing 26 (2), 379-393, 2018 | 372 | 2018 |
| Computational analysis of sound scenes and events T Virtanen, MD Plumbley, D Ellis Springer International Publishing, 2018 | 337 | 2018 |
| Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning D Stowell, MD Plumbley PeerJ 2, e488, 2014 | 320 | 2014 |
| Audio inpainting A Adler, V Emiya, MG Jafari, M Elad, R Gribonval, MD Plumbley IEEE Transactions on Audio, Speech, and Language Processing 20 (3), 922-932, 2012 | 313 | 2012 |
| Algorithms for nonnegative independent component analysis MD Plumbley IEEE Transactions on Neural Networks 14 (3), 534-543, 2003 | 310 | 2003 |
| Context-dependent beat tracking of musical audio MEP Davies, MD Plumbley IEEE Transactions on Audio, Speech, and Language Processing 15 (3), 1009-1020, 2007 | 306 | 2007 |
| Sparse representations in audio and music: from coding to source separation MD Plumbley, T Blumensath, L Daudet, R Gribonval, ME Davies Proceedings of the IEEE 98 (6), 995-1005, 2009 | 296 | 2009 |
| Detection and classification of acoustic scenes and events: An IEEE AASP Challenge D Giannoulis, E Benetos, D Stowell, M Rossignol, M Lagrange, ... IEEE Workshop on Applications of Signal Processing to Audio and Acoustics …, 2013 | 275 | 2013 |
| 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 | 256 | 2018 |
| Sound event detection: A tutorial A Mesaros, T Heittola, T Virtanen, MD Plumbley IEEE Signal Processing Magazine 38 (5), 67-83, 2021 | 233 | 2021 |
| Theorems on positive data: On the uniqueness of NMF H Laurberg, MG Christensen, MD Plumbley, LK Hansen, SH Jensen Computational Intelligence and Neuroscience 2008, Article ID 764206, 2008 | 233 | 2008 |
| Polyphonic music transcription by non-negative sparse coding of power spectra SA Abdallah, MD Plumbley 5th International Conference on Music Information Retrieval (ISMIR 2004 …, 2004 | 217 | 2004 |
| Evaluation methods for musical audio beat tracking algorithms MEP Davies, N Degara, MD Plumbley Queen Mary University of London, Centre for Digital Music, Tech. Rep. C4DM …, 2009 | 188 | 2009 |
| Wideband spectrum sensing on real-time signals at sub-Nyquist sampling rates in single and cooperative multiple nodes Z Qin, Y Gao, MD Plumbley, CG Parini IEEE Transactions on Signal Processing 64 (12), 3106-3117, 2016 | 187 | 2016 |
| Fast dictionary learning for sparse representations of speech signals MG Jafari, MD Plumbley IEEE Journal of Selected Topics in Signal Processing 5 (5), 1025-1031, 2011 | 173 | 2011 |
Wenwu WangProfessor, University of Surrey, UKVerified email at surrey.ac.uk
