| librosa: Audio and music signal analysis in python B McFee, C Raffel, D Liang, DP Ellis, M McVicar, E Battenberg, O Nieto Proceedings of the 14th python in science conference 8, 18-25, 2015 | 2089 | 2015 |
| Automatic chord estimation from audio: A review of the state of the art M McVicar, R Santos-Rodríguez, Y Ni, T De Bie IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (2), 556-575, 2014 | 105 | 2014 |
| An end-to-end machine learning system for harmonic analysis of music Y Ni, M McVicar, R Santos-Rodriguez, T De Bie IEEE Transactions on Audio, Speech, and Language Processing 20 (6), 1771-1783, 2012 | 91 | 2012 |
| Hit song science once again a science Y Ni, R Santos-Rodriguez, M Mcvicar, T De Bie 4th International Workshop on Machine Learning and Music, 2011 | 69 | 2011 |
| librosa/librosa: 0.8. 0 B McFee, V Lostanlen, A Metsai, M McVicar, S Balke, C Thomé, C Raffel, ... Version 0.8. 0, Zenodo, doi 10, 2020 | 58 | 2020 |
| librosa 0.5. 0 B McFee, M McVicar, O Nieto, S Balke, C Thome, D Liang, E Battenberg, ... Zenodo. URL: https://doi. org/10 5281, 2017 | 52 | 2017 |
| Understanding effects of subjectivity in measuring chord estimation accuracy Y Ni, M McVicar, R Santos-Rodriguez, T De Bie IEEE Transactions on Audio, Speech, and Language Processing 21 (12), 2607-2615, 2013 | 51 | 2013 |
| librosa/librosa: 0.7. 2 B McFee, V Lostanlen, M McVicar, A Metsai, S Balke, C Thomé, C Raffel, ... Zenodo, Jan 13, 2020 | 48 | 2020 |
| librosa: 0.4. 1 B McFee, M McVicar, C Raffel, D Liang, O Nieto, E Battenberg, J Moore, ... Zenodo, 2015 | 42 | 2015 |
| viktorandreevichmorozov, K B McFee, A Metsai, M McVicar, S Balke, C Thomé, C Raffel, F Zalkow, ... Moore, R. Bittner, S. Hidaka, Z. Wei, nullmightybofo, D. Herenú, F.-R …, 2020 | 41 | 2020 |
| Leveraging repetition for improved automatic lyric transcription in popular music M McVicar, DPW Ellis, M Goto 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 40 | 2014 |
| Mining the Correlation between Lyrical and Audio Features and the Emergence of Mood. M McVicar, T Freeman, T De Bie ISMIR, 783-788, 2011 | 39 | 2011 |
| StructureNet: Inducing Structure in Generated Melodies. G Medeot, S Cherla, K Kosta, M McVicar, S Abdallah, M Selvi, ... ISMIR, 725-731, 2018 | 29 | 2018 |
| AutoLeadGuitar: Automatic generation of guitar solo phrases in the tablature space M McVicar, S Fukayama, M Goto 2014 12th international conference on signal processing (ICSP), 599-604, 2014 | 25 | 2014 |
| nullmightybofo, P. Friesch, F B McFee, M McVicar, S Balke, V Lostanlen, C Thom, C Raffel, D Lee, ... R. Stter, Thassilo, M. Vollrath, SK Golu, nehz, S. Waloschek, Seth, R …, 2019 | 23 | 2019 |
| librosa/librosa: 0.6. 3 B McFee, M McVicar, S Balke, C Thomé, C Raffel, D Lee, O Nieto, ... URL: https://doi. org/10.5281/zenodo 2564164, 2019 | 22 | 2019 |
| Autorhythmguitar: Computer-aided composition for rhythm guitar in the tab space M McVicar, S Fukayama, M Goto ICMC, 2014 | 17 | 2014 |
| Using Hyper-genre Training to Explore Genre Information for Automatic Chord Estimation. Y Ni, M McVicar, R Santos-Rodriguez, T De Bie ISMIR, 109-114, 2012 | 16 | 2012 |
| Using online chord databases to enhance chord recognition M McVicar, Y Ni, R Santos-Rodriguez, T De Bie Journal of New Music Research 40 (2), 139-152, 2011 | 14 | 2011 |
| SuMoTED: An intuitive edit distance between rooted unordered uniquely-labelled trees M McVicar, B Sach, C Mesnage, J Lijffijt, E Spyropoulou, T De Bie Pattern Recognition Letters 79, 52-59, 2016 | 13 | 2016 |
Tijl De BieFull Professor, Ghent UniversityVerified email at ugent.be
