The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Audio source separation -

Shoko Araki 1 Francesco Nesta 2 Emmanuel Vincent 3 Zbynek Koldovsky 4 Guido Nolte 5 Andreas Ziehe 5 Alexis Benichoux 3
1 NTT Communication Science Laboratories
2 FBK - Fondazione Bruno Kessler [Trento, Italy]
3 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
4 ITE - Institute of Information Technology and Electronics
5 IDA - Department Intelligent Data Analysis [Berlin]
Abstract : This paper summarizes the audio part of the 2011 community-based Signal Separation Evaluation Campaign (SiSEC2011). Four speech and music datasets were contributed, including datasets recorded in noisy or dynamic environments and a subset of the SiSEC2010 datasets. The participants addressed one or more tasks out of four source separation tasks, and the results for each task were evaluated using different objective performance criteria. We provide an overview of the audio datasets, tasks and criteria.We also report the results achieved with the submitted systems, and discuss organization strategies for future campaigns.
Type de document :
Communication dans un congrès
10th Int. Conf. on Latent Variable Analysis and Signal Separation (LVA/ICA), Mar 2012, Tel Aviv, Israel. pp.414-422, 2012
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https://hal.inria.fr/hal-00655394
Contributeur : Emmanuel Vincent <>
Soumis le : mercredi 28 décembre 2011 - 11:37:20
Dernière modification le : vendredi 16 novembre 2018 - 01:22:50
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Shoko Araki, Francesco Nesta, Emmanuel Vincent, Zbynek Koldovsky, Guido Nolte, et al.. The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Audio source separation -. 10th Int. Conf. on Latent Variable Analysis and Signal Separation (LVA/ICA), Mar 2012, Tel Aviv, Israel. pp.414-422, 2012. 〈hal-00655394〉

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