Cross recurrence quantification for cover song identification

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Serra J, Serra X, Andrzejak R G. Cross recurrence quantification for cover song identification. New Journal of Physics. 2009; 11(093017). DOI 10.1088/1367-2630/11/9/093017
http://hdl.handle.net/10230/16206
To cite or link this document: http://hdl.handle.net/10230/16206
dc.contributor.author Serrà Julià, Joan
dc.contributor.author Serra, Xavier
dc.contributor.author Andrzejak, Ralph Gregor
dc.contributor.other Universitat Pompeu Fabra
dc.date.accessioned 2012-02-09T09:47:48Z
dc.date.available 2012-02-09T09:47:48Z
dc.date.issued 2009
dc.identifier.citation Serra J, Serra X, Andrzejak R G. Cross recurrence quantification for cover song identification. New Journal of Physics. 2009; 11(093017). DOI 10.1088/1367-2630/11/9/093017
dc.identifier.issn 11367-2630
dc.identifier.uri http://hdl.handle.net/10230/16206
dc.description.abstract There is growing evidence that nonlinear time series analysis techniques can be used to successfully characterize, classify, or process signals derived from realworld dynamics even though these are not necessarily deterministic and stationary. In the present study we proceed in this direction by addressing an important problem our modern society is facing, the automatic classification of digital information. In particular, we address the automatic identification of cover songs, i.e. alternative renditions of a previously recorded musical piece. For this purpose we here propose a recurrence quantification analysis measure that allows tracking potentially curved and disrupted traces in cross recurrence plots. We apply this measure to cross recurrence plots constructed from the state space representation of musical descriptor time series extracted from the raw audio signal. We show that our method identifies cover songs with a higher accuracy as compared to previously published techniques. Beyond the particular application proposed here, we discuss how our approach can be useful for the characterization of a variety of signals from different scientific disciplines. We study coupled Rössler dynamics with stochastically modulated mean frequencies as one concrete example to illustrate this point.
dc.description.sponsorship This research has been partially funded by the EU-IP project PHAROS IST-2006-045035 and by the BFU2007-61710 Spanish Ministry of Education and Science grant.
dc.language.iso eng
dc.publisher Institute of Physics (IOP)
dc.rights © IOP Publishing Ltd and Deutsche Physikalische Gesellschaft. The published version of the article is available at http://iopscience.iop.org/1367-2630/11/9/093017/
dc.subject.other Música -- Informàtica
dc.subject.other So -- Tractament per ordinador
dc.subject.other Sèries temporals -- Anàlisi
dc.title Cross recurrence quantification for cover song identification
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1088/1367-2630/11/9/093017
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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