| 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 | 156 | 2017 |
| The 2018 signal separation evaluation campaign FR Stöter, A Liutkus, N Ito International Conference on Latent Variable Analysis and Signal Separation …, 2018 | 97 | 2018 |
| MUSDB18-a corpus for music separation Z Rafii, A Liutkus, FR Stöter, SI Mimilakis, R Bittner | 85 | 2017 |
| Open-unmix-a reference implementation for music source separation FR Stöter, S Uhlich, A Liutkus, Y Mitsufuji | 65 | 2019 |
| 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 | 48 | 2018 |
| librosa 0.5. 0 B McFee, M McVicar, O Nieto, S Balke, C Thome, D Liang, E Battenberg, ... Feb, 2017 | 43 | 2017 |
| 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 | 40 | 2018 |
| 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 | 36 | 2015 |
| 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 | 32 | 2016 |
| 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 | 29 | 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 | 29 | 2018 |
| 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 | 28 | 2013 |
| librosa/librosa: 0.7. 1 B McFee, V Lostanlen, M McVicar, A Metsai, S Balke, C Thomé, C Raffel, ... Version 0.7 1, 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 | 20 | 2019 |
| 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, ... International Conference of the Cross-Language Evaluation Forum for European …, 2019 | 17 | 2019 |
| 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 | 17 | 2018 |
| 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 | 16 | 2018 |
| Human ability of counting the number of instruments in polyphonic music FR Stöter, M Schoeffler, B Edler, J Herre ICA 2013 Montreal 133 (5), 2013 | 13 | 2013 |
| 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 | 11 | 2020 |
| Overview of BirdCLEF 2019: large-scale bird recognition in soundscapes S Kahl, FR Stöter, H Goëau, H Glotin, R Planque, WP Vellinga, A Joly | 11 | 2019 |
Antoine LiutkusInria, FranceBestätigte E-Mail-Adresse bei inria.fr
