| The MUSDB18 corpus for music separation Z Rafii, A Liutkus, FR Stöter, SI Mimilakis, R Bittner Dec, 2017 | 346 | 2017 |
| Open-unmix-a reference implementation for music source separation FR Stöter, S Uhlich, A Liutkus, Y Mitsufuji Journal of Open Source Software 4 (41), 1667, 2019 | 340 | 2019 |
| The 2018 signal separation evaluation campaign FR Stöter, A Liutkus, N Ito Latent Variable Analysis and Signal Separation: 14th International …, 2018 | 298 | 2018 |
| webMUSHRA—A comprehensive framework for web-based listening tests M Schoeffler, S Bartoschek, FR Stöter, M Roess, S Westphal, B Edler, ... Journal of open research software 6 (1), 2018 | 290 | 2018 |
| The 2016 signal separation evaluation campaign A Liutkus, FR Stöter, Z Rafii, D Kitamura, B Rivet, N Ito, N Ono, ... International Conference on Latent Variable Analysis and Signal Separation …, 2017 | 258 | 2017 |
| Asteroid: the PyTorch-based audio source separation toolkit for researchers M Pariente, S Cornell, J Cosentino, S Sivasankaran, E Tzinis, ... arXiv preprint arXiv:2005.04132, 2020 | 176 | 2020 |
| Sliced-Wasserstein flows: Nonparametric generative modeling via optimal transport and diffusions A Liutkus, U Simsekli, S Majewski, A Durmus, FR Stöter International Conference on Machine Learning, 4104-4113, 2019 | 153 | 2019 |
| Musical source separation: An introduction E Cano, D FitzGerald, A Liutkus, MD Plumbley, FR Stöter IEEE Signal Processing Magazine 36 (1), 31-40, 2018 | 143 | 2018 |
| An overview of lead and accompaniment separation in music Z Rafii, A Liutkus, FR Stöter, SI Mimilakis, D FitzGerald, B Pardo IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (8), 1307 …, 2018 | 136 | 2018 |
| 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 | 123* | 2017 |
| 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 | 112 | 2020 |
| Music demixing challenge 2021 Y Mitsufuji, G Fabbro, S Uhlich, FR Stöter, A Défossez, M Kim, W Choi, ... Frontiers in Signal Processing 1, 808395, 2022 | 111* | 2022 |
| MUSDB18-HQ-an uncompressed version of MUSDB18 Z Rafii, A Liutkus, FR Stöter, SI Mimilakis, R Bittner (No Title), 2019 | 80 | 2019 |
| Towards the next generation of web-based experiments: A case study assessing basic audio quality following the ITU-R recommendation BS. 1534 (MUSHRA) M Schoeffler, FR Stöter, B Edler, J Herre 1st Web Audio Conference, 1-6, 2015 | 76 | 2015 |
| Countnet: Estimating the number of concurrent speakers using supervised learning FR Stöter, S Chakrabarty, B Edler, EAP Habets IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (2), 268-282, 2018 | 64 | 2018 |
| Classification vs. regression in supervised learning for single channel speaker count estimation FR Stöter, S Chakrabarty, B Edler, EAP Habets 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 61 | 2018 |
| Overview of BirdCLEF 2019: large-scale bird recognition in soundscapes S Kahl, FR Stöter, H Goëau, H Glotin, R Planque, WP Vellinga, A Joly CLEF 2019-conference and labs of the evaluation forum 2380 (256), 2019 | 58 | 2019 |
| Common fate model for unison source separation FR Stöter, A Liutkus, R Badeau, B Edler, P Magron 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 41 | 2016 |
| An Experiment About Estimating the Number of Instruments in Polyphonic Music: A Comparison Between Internet and Labotratory Results M Schoeffler, FR Stöter, H Bayerlein, B Edler, J Herre 14th International Society for Music Information Retrieval Conference (ISMIR), 2013 | 35 | 2013 |
| Overview of lifeclef 2019: Identification of amazonian plants, south & north american birds, and niche prediction A Joly, H Goëau, C Botella, S Kahl, M Servajean, H Glotin, P Bonnet, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 10th …, 2019 | 34 | 2019 |
Antoine LiutkusHudson River Trading, NYC, USAVerifierad e-postadress på inria.fr