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Description
  • 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.
  • 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. (en)
Title
  • The 2013 Signal Separation Evaluation Campaign
  • The 2013 Signal Separation Evaluation Campaign (en)
skos:prefLabel
  • The 2013 Signal Separation Evaluation Campaign
  • The 2013 Signal Separation Evaluation Campaign (en)
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  • RIV/46747885:24220/13:#0002873!RIV14-GA0-24220___
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  • P(GAP103/11/1947)
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  • 119721
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  • RIV/46747885:24220/13:#0002873
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  • Noisy recordings (en)
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  • [A4A91F835A3D]
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  • Southampton; United Kingdom
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  • 2013 16th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2013
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  • Koldovský, Zbyněk
  • Ito, N.
  • Miyabe, S.
  • Ono, N.
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http://linked.open.../riv/zahajeniAkce
issn
  • 2161-0363
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/MLSP.2013.6661988
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  • IEEE Signal Processing Society
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  • 978-1-4799-1180-6
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  • 24220
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