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dc.contributor.author Serrà Julià, Joan
dc.contributor.author Zanin, Massimiliano
dc.contributor.author Herrera Boyer, Perfecto, 1964-
dc.date.accessioned 2019-06-27T16:38:56Z
dc.date.available 2019-06-27T16:38:56Z
dc.date.issued 2011
dc.identifier.citation Serrà J, Zanin M, Herrera P. Cover song networks: analysis and accuracy increase. Int. J. Complex Systems in Science. 2011;1(1):55-9.
dc.identifier.issn 2174-6036
dc.identifier.uri http://hdl.handle.net/10230/41882
dc.description.abstract The application of community detection in complex networks is explored within the framework of cover song identification, i.e. the automatic detection of different audio renditions of the same underlying musical piece. In the last years this particular task has been widely studied within the music information retrieval field as a query problem, where one song was submitted and a list of possible matches was created by the system. In this contribution we propose a new point of view: songs are embedded in a complex weighted network, whose links represent similarity (common musical content between songs). We analyze this network and find a strong modular structure, with well-defined communities and a clustering coefficient higher than expected. We then perform clustering and community detection to identify groups of songs that are versions the same musical piece. Importantly, the information gained through this process can be used to increase the overall accuracy of the system. Results show that accuracy increments of 5 percent points can be easily achieved. A further out-of-sample test provides evidence that this increase can be potentially higher.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Interlude
dc.relation.ispartof International Journal of Complex Systems in Science. 2011;1(1):55-9.
dc.rights © The authors
dc.title Cover song networks: analysis and accuracy increase
dc.type info:eu-repo/semantics/article
dc.subject.keyword Community detection
dc.subject.keyword Cover songs
dc.subject.keyword Information retrieval
dc.subject.keyword Music
dc.subject.keyword Networks
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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