| 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 | 696 | 2015 |
| Automatic music transcription: challenges and future directions E Benetos, S Dixon, D Giannoulis, H Kirchhoff, A Klapuri Journal of Intelligent Information Systems 41, 407-434, 2013 | 428 | 2013 |
| An end-to-end neural network for polyphonic piano music transcription S Sigtia, E Benetos, S Dixon IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (5), 927-939, 2016 | 412 | 2016 |
| 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, 2017 | 380 | 2017 |
| Automatic music transcription: An overview E Benetos, S Dixon, Z Duan, S Ewert IEEE Signal Processing Magazine 36 (1), 20-30, 2018 | 359 | 2018 |
| Detection and classification of acoustic scenes and events: An IEEE AASP challenge D Giannoulis, E Benetos, D Stowell, M Rossignol, M Lagrange, ... 2013 IEEE Workshop on Applications of Signal Processing to Audio and …, 2013 | 276 | 2013 |
| A shift-invariant latent variable model for automatic music transcription E Benetos, S Dixon Computer Music Journal 36 (4), 81-94, 2012 | 114 | 2012 |
| A database and challenge for acoustic scene classification and event detection D Giannoulis, D Stowell, E Benetos, M Rossignol, M Lagrange, ... 21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013 | 112 | 2013 |
| Music genre classification: A multilinear approach I Panagakis, E Benetos, C Kotropoulos ISMIR, 583-588, 2008 | 112 | 2008 |
| Subspectralnet–using sub-spectrogram based convolutional neural networks for acoustic scene classification SSR Phaye, E Benetos, Y Wang ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 104 | 2019 |
| Roadmap for Music Information ReSearch X Serra, M Magas, E Benetos, M Chudy, S Dixon, A Flexer | 104 | 2013 |
| Ensemble models for spoofing detection in automatic speaker verification B Chettri, D Stoller, V Morfi, MAM Ramírez, E Benetos, BL Sturm arXiv preprint arXiv:1904.04589, 2019 | 102 | 2019 |
| Speaker recognition with hybrid features from a deep belief network H Ali, SN Tran, E Benetos, AS d’Avila Garcez Neural Computing and Applications 29, 13-19, 2018 | 99 | 2018 |
| Multiple-instrument polyphonic music transcription using a temporally constrained shift-invariant model E Benetos, S Dixon The Journal of the Acoustical Society of America 133 (3), 1727-1741, 2013 | 98 | 2013 |
| Audio-based identification of beehive states I Nolasco, A Terenzi, S Cecchi, S Orcioni, HL Bear, E Benetos ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 93 | 2019 |
| An efficient temporally-constrained probabilistic model for multiple-instrument music transcription E Benetos, T Weyde International Society for Music Information Retrieval, 2015 | 91 | 2015 |
| Musical instrument classification using non-negative matrix factorization algorithms and subset feature selection E Benetos, M Kotti, C Kotropoulos Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 …, 2006 | 87 | 2006 |
| Mert: Acoustic music understanding model with large-scale self-supervised training Y Li, R Yuan, G Zhang, Y Ma, X Chen, H Yin, C Xiao, C Lin, A Ragni, ... arXiv preprint arXiv:2306.00107, 2023 | 83 | 2023 |
| Automatic music transcription: Breaking the glass ceiling E Benetos, S Dixon, D Giannoulis, H Kirchhoff, A Klapuri FEUP Edições, 2012 | 77 | 2012 |
| Towards complete polyphonic music transcription: Integrating multi-pitch detection and rhythm quantization E Nakamura, E Benetos, K Yoshii, S Dixon 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 73 | 2018 |
Simon DixonCentre for Digital Music, Queen Mary University of LondonVerified email at qmul.ac.uk
