The 2015 Signal Separation Evaluation Campaign
Identifieur interne : 000369 ( Main/Exploration ); précédent : 000368; suivant : 000370The 2015 Signal Separation Evaluation Campaign
Auteurs : Nobutaka Ono [Japon] ; Zafar Rafii [États-Unis] ; Daichi Kitamura [France] ; Nobutaka Ito [Japon] ; Antoine Liutkus [France]Source :
Abstract
In this paper, we report the 2015 community-based Signal Separation Evaluation Campaign (SiSEC 2015). This SiSEC consists of four speech and music datasets including two new datasets: " Professionally produced music recordings " and " Asynchronous recordings of speech mixtures ". Focusing on them, we overview the campaign specifications such as the tasks, datasets and evaluation criteria. We also summarize the performance of the submitted systems.
Url:
DOI: 10.1007/978-3-319-22482-4_45
Affiliations:
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<front><div type="abstract" xml:lang="en">In this paper, we report the 2015 community-based Signal Separation Evaluation Campaign (SiSEC 2015). This SiSEC consists of four speech and music datasets including two new datasets: " Professionally produced music recordings " and " Asynchronous recordings of speech mixtures ". Focusing on them, we overview the campaign specifications such as the tasks, datasets and evaluation criteria. We also summarize the performance of the submitted systems.</div>
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