The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Audio Source Separation

Abstract. This paper introduces the audio part of the 2010 communitybased 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.

• Type: Conference
• Year: 2010
• Where: ICA
• Authors: Shoko Araki, Alexey Ozerov, Vikrham Gowreesunker, Hiroshi Sawada, Fabian J. Theis, Guido Nolte, Dominik Lutter, Ngoc Q. K. Duong
• Keywords: ICA 2010, Music Datasets, Signal Processing, Signal Separation Evaluation, Source Separation Problems