| librosa: Audio and music signal analysis in python B McFee, C Raffel, D Liang, DPW Ellis, M McVicar, E Battenberg, O Nieto Proceedings of the 14th python in science conference 8, 18-25, 2015 | 646 | 2015 |
| mir_eval: A transparent implementation of common MIR metrics C Raffel, B McFee, EJ Humphrey, J Salamon, O Nieto, D Liang, DPW Ellis, ... In Proceedings of the 15th International Society for Music Information …, 2014 | 234 | 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 | 80 | 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 | 69 | 2017 |
| 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 | 46 | 2013 |
| 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 | 44 | 2014 |
| librosa 0.5. 0 B McFee, M McVicar, O Nieto, S Balke, C Thome, D Liang, E Battenberg, ... Feb, 2017 | 41 | 2017 |
| Data Driven and Discriminative Projections for Large-Scale Cover Song Identification. EJ Humphrey, O Nieto, JP Bello ISMIR, 149-154, 2013 | 40 | 2013 |
| Music segment similarity using 2d-fourier magnitude coefficients O Nieto, JP Bello 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 33 | 2014 |
| Multimodal deep learning for music genre classification S Oramas, F Barbieri, O Nieto, X Serra Transactions of the International Society for Music Information Retrieval …, 2018 | 30 | 2018 |
| Identifying Polyphonic Patterns From Audio Recordings Using Music Segmentation Techniques O Nieto, MM Farbood Proc. of the 15th International Society for Music Information Retrieval …, 2014 | 30 | 2014 |
| 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 | 28 | 2017 |
| Perceptual Evaluation of Automatically Extracted Musical Motives O Nieto, MM Farbood International Conference in Music Perception and Cognition, 723-727, 2012 | 26 | 2012 |
| Perceptual Analysis of the F-measure for Evaluating Section Boundaries in Music O Nieto, MM Farbood, T Jehan, JP Bello Proc. of the 15th International Society for Music Information Retrieval …, 2014 | 25 | 2014 |
| Systematic exploration of computational music structure research. O Nieto, JP Bello ISMIR, 547-553, 2016 | 24 | 2016 |
| 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 | 20 | 2019 |
| librosa: 0.4. 1 B McFee, M McVicar, C Raffel, D Liang, O Nieto, E Battenberg, J Moore, ... Oct, 2015 | 19 | 2015 |
| Hierarchical Evaluation of Segment Boundary Detection. B McFee, O Nieto, JP Bello ISMIR, 406-412, 2015 | 16 | 2015 |
| Discovering structure in music: Automatic approaches and perceptual evaluations O Nieto PhD thesis, New York University, 2015 | 13 | 2015 |
| Librosa: v0. 4.0 B McFee, M McVicar, C Raffel, D Liang, O Nieto, J Moore, D Ellis, ... Zenodo 2015, 2015 | 12 | 2015 |
Brian McFeeMusic and Performing Arts Professions / Center for Data Science, New York UniversityVerified email at nyu.edu
