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Spectral similarity metrics for sound source formation based on the common variation cue
Telecom ParisTechnology.
Linköping University, Department of Science and Technology. Linköping University, The Institute of Technology.
2010 (English)In: MULTIMEDIA TOOLS AND APPLICATIONS, ISSN 1380-7501, Vol. 48, no 1, 185-205 p.Article in journal (Refereed) Published
Abstract [en]

Scene analysis is a relevant way of gathering information about the structure of an audio stream. For content extraction purposes, it also provides prior knowledge that can be taken into account in order to provide more robust results for standard classification approaches. In order to perform such scene analysis, we believe that the notion of temporality is important. Consequently, we study in this paper a new way of modeling the evolution over time of the frequency and amplitude parameters of spectral components. We evaluate its benefits by considering its ability to automatically gather the components of the same sound source. The evaluation of the proposed metric shows that it achieves good performance and takes better account of micro-modulations.

Place, publisher, year, edition, pages
Springer Science Business Media , 2010. Vol. 48, no 1, 185-205 p.
Keyword [en]
Auditory scene analysis, Mid-level representation, Clustering, Common variation cue
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-54854DOI: 10.1007/s11042-009-0382-9ISI: 000276079400011OAI: oai:DiVA.org:liu-54854DiVA: diva2:310860
Available from: 2010-04-16 Created: 2010-04-16 Last updated: 2014-09-08

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Raspaud, Martin

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  • apa
  • harvard1
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  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
  • rtf