The 2010 Signal Separation Evaluation Campaign (SiSEC2010): - Audio source separation -

Shoko Araki 1 Alexey Ozerov 2 B. Vikrham Gowreesunker 3 Hiroshi Sawada 1 Fabian J Theis 4 Guide Nolte 5 Dominik Lutter 4 Ngoc Duong 2
1 NTT Communication Science Laboratories
2 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
3 Texas Instruments - R&D center [USA]
4 IBB - Institute of Biomathematics and Biometry - Helmholtz Zentrum München
5 IDA - Department Intelligent Data Analysis [Berlin]
Abstract : This paper introduces the audio part of the 2010 community-based Signal Separation Evaluation Campaign (SiSEC2010). Seven speech and music datasets were contributed, which include datasets recorded in noisy or dynamic environments, in addition to the SiSEC2008 datasets. The source separation problems were split into five 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.
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Communication dans un congrès
9th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA'10), Sep 2010, St-Malo, France. 2010
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Shoko Araki, Alexey Ozerov, B. Vikrham Gowreesunker, Hiroshi Sawada, Fabian J Theis, et al.. The 2010 Signal Separation Evaluation Campaign (SiSEC2010): - Audio source separation -. 9th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA'10), Sep 2010, St-Malo, France. 2010. 〈inria-00553385〉

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