The 2016 Signal Separation Evaluation Campaign

Abstract : In this paper, we report the results of the 2016 community-based Signal Separation Evaluation Campaign (SiSEC 2016). This edition comprises four tasks. Three focus on the separation of speech and music audio recordings, while one concerns biomedical signals. We summarize these tasks and the performance of the submitted systems, as well as provide a small discussion concerning future trends of SiSEC.
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Communication dans un congrès
Petr Tichavský ; Massoud Babaie-Zadeh; Olivier J.J. Michel ; Nadège Thirion-Moreau 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Feb 2017, Grenoble, France. Springer, Latent Variable Analysis and Signal Separation, 10169, pp.323 - 332, 2017, Theoretical Computer Science and General Issues. 〈10.1007/978-3-319-53547-0_31〉
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https://hal.inria.fr/hal-01472932
Contributeur : Antoine Liutkus <>
Soumis le : mardi 21 février 2017 - 14:54:06
Dernière modification le : mercredi 16 janvier 2019 - 13:58:04
Document(s) archivé(s) le : lundi 22 mai 2017 - 15:46:02

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SiSEC2016report.pdf
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Antoine Liutkus, Fabian-Robert Stöter, Zafar Rafii, Daichi Kitamura, Bertrand Rivet, et al.. The 2016 Signal Separation Evaluation Campaign. Petr Tichavský ; Massoud Babaie-Zadeh; Olivier J.J. Michel ; Nadège Thirion-Moreau 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Feb 2017, Grenoble, France. Springer, Latent Variable Analysis and Signal Separation, 10169, pp.323 - 332, 2017, Theoretical Computer Science and General Issues. 〈10.1007/978-3-319-53547-0_31〉. 〈hal-01472932〉

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