| librosa: Audio and music signal analysis in python. B McFee, C Raffel, D Liang, DPW Ellis, M McVicar, E Battenberg, O Nieto SciPy 2015, 18-24, 2015 | 3465 | 2015 |
| MIR_EVAL: A Transparent Implementation of Common MIR Metrics. C Raffel, B McFee, EJ Humphrey, J Salamon, O Nieto, D Liang, DPW Ellis, ... ISMIR 10, 2014, 2014 | 671 | 2014 |
| End-to-end learning for music audio tagging at scale J Pons, O Nieto, M Prockup, E Schmidt, A Ehmann, X Serra arXiv preprint arXiv:1711.02520, 2017 | 261 | 2017 |
| Multi-label music genre classification from audio, text, and images using deep features S Oramas, O Nieto, F Barbieri, X Serra arXiv preprint arXiv:1707.04916, 2017 | 181 | 2017 |
| Multimodal deep learning for music genre classification S Oramas, F Barbieri, O Nieto Caballero, X Serra Ubiquity Press, 2018 | 177 | 2018 |
| 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 | 139 | 2020 |
| A deep multimodal approach for cold-start music recommendation S Oramas, O Nieto, M Sordo, X Serra Proceedings of the 2nd workshop on deep learning for recommender systems, 32-37, 2017 | 130 | 2017 |
| Systematic exploration of computational music structure research. O Nieto, JP Bello ISMIR, 547-553, 2016 | 92 | 2016 |
| Data-driven harmonic filters for audio representation learning M Won, S Chun, O Nieto, X Serrc ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 86 | 2020 |
| JAMS: A JSON Annotated Music Specification for Reproducible MIR Research EJ Humphrey, J Salamon, O Nieto, J Forsyth, RM Bittner, JP Bello Proc. of the 15th International Society for Music Information Retrieval …, 2014 | 78 | 2014 |
| librosa/librosa: 0.7. 2 B McFee, V Lostanlen, M McVicar, A Metsai, S Balke, C Thomé, C Raffel, ... Zenodo, Jan 13, 2020 | 76 | 2020 |
| Convex Non-negative Matrix Factorization For Automatic Music Structure Identification O Nieto, T Jehan Proc. of the 38th International Conference on Acoustics, Speech, and Signal …, 2013 | 72 | 2013 |
| Audio-based music structure analysis: Current trends, open challenges, and applications O Nieto, GJ Mysore, C Wang, JBL Smith, J Schlüter, T Grill, B McFee Transactions of the International Society for Music Information Retrieval 3 (1), 2020 | 69 | 2020 |
| 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 | 60 | 2020 |
| Multimodal metric learning for tag-based music retrieval M Won, S Oramas, O Nieto, F Gouyon, X Serra ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 57 | 2021 |
| The Harmonix Set: Beats, Downbeats, and Functional Segment Annotations of Western Popular Music. O Nieto, MC McCallum, MEP Davies, A Robertson, AM Stark, E Egozy ISMIR, 565-572, 2019 | 56 | 2019 |
| 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 | 55 | 2017 |
| Data Driven and Discriminative Projections for Large-Scale Cover Song Identification. EJ Humphrey, O Nieto, JP Bello ISMIR 13, 149-154, 2013 | 52 | 2013 |
| librosa: 0.4. 1 B McFee, M McVicar, C Raffel, D Liang, O Nieto, E Battenberg, J Moore, ... Zenodo, 2015 | 49 | 2015 |
| Music segment similarity using 2d-fourier magnitude coefficients O Nieto, JP Bello 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 48 | 2014 |
Brian McFeeMusic and Performing Arts Professions / Center for Data Science, New York UniversityVerifierad e-postadress på nyu.edu