DocumentCode
642522
Title
The 2013 Signal Separation Evaluation Campaign
Author
Ono, Nobutaka ; Koldovsky, Zbynek ; Miyabe, Shigeki ; Ito, Noboru
Author_Institution
Nat. Inst. of Inf., Grad. Univ. for Adv. Studies, Tokyo, Japan
fYear
2013
fDate
22-25 Sept. 2013
Firstpage
1
Lastpage
6
Abstract
This paper summarizes the 2013 community-based Signal Separation Evaluation Campaign (SiSEC 2013). Five speech and music datasets were contributed, including two new datasets: “Two-channel noisy recordings of a moving speaker within a limited area” and “Asynchronous recordings of speech mixtures”. The participants addressed one or more datasets out of five, and the results for each task were evaluated using different objective performance criteria. We overview the campaign specifications such as the tasks, datasets, and evaluation criteria. We also summarize the evaluated performance of the submitted systems, and discuss organization strategies for future campaigns.
Keywords
source separation; speech processing; 2013 community-based signal separation evaluation campaign; SiSEC 2013; asynchronous recordings; campaign specifications; moving speaker; objective performance criteria; organization strategies; speech mixtures; two-channel noisy recordings; Estimation; Microphones; Microwave integrated circuits; Noise; Noise measurement; Source separation; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning for Signal Processing (MLSP), 2013 IEEE International Workshop on
Conference_Location
Southampton
ISSN
1551-2541
Type
conf
DOI
10.1109/MLSP.2013.6661988
Filename
6661988
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