フォロー
Fabian-Robert Stöter
Fabian-Robert Stöter
audioshake.ai
確認したメール アドレス: audioshake.ai - ホームページ
タイトル
引用先
引用先
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
2962019
MUSDB18-a corpus for music separation
Z Rafii, A Liutkus, FR Stöter, SI Mimilakis, R Bittner
2782017
The 2018 signal separation evaluation campaign
FR Stöter, A Liutkus, N Ito
Latent Variable Analysis and Signal Separation: 14th International …, 2018
2722018
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), 8, 2018
2432018
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
2422017
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
1432020
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
1322019
Musical source separation: An introduction
E Cano, D FitzGerald, A Liutkus, MD Plumbley, FR Stöter
IEEE Signal Processing Magazine 36 (1), 31-40, 2018
1302018
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
1232018
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
122*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
822020
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
81*2022
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
722015
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
622018
MUSDB18-HQ-an uncompressed version of MUSDB18
Z Rafii, A Liutkus, FR Stöter, SI Mimilakis, R Bittner
doi. org/10.5281/zenodo 3338373, 2019
582019
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
582018
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
572019
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
382016
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
342013
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
322019
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