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Automatic performer identification in celtic violin audio recordings

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dc.contributor.author Ramírez, Rafael,1966-
dc.contributor.author Maestre Gómez, Esteban
dc.contributor.author Pérez Carrillo, Alfonso Antonio, 1977-
dc.contributor.author Serra, Xavier
dc.date.accessioned 2018-06-01T08:55:36Z
dc.date.available 2018-06-01T08:55:36Z
dc.date.issued 2011
dc.identifier.citation Ramirez R, Maestre E, Perez A, Serra X. Automatic performer identification in celtic violin audio recordings. J New Music Res. 2011;40(2):165-74. DOI: 10.1080/09298215.2011.572171
dc.identifier.issn 0929-8215
dc.identifier.uri http://hdl.handle.net/10230/34779
dc.description.abstract We present a machine learning approach to the problem of identifying performers from their interpretative styles. In particular, we investigate how violinists express their view of the musical content in audio recordings and feed this information to a number of machine learning techniques in order to induce classifiers capable of identifying the interpreters. We apply sound analysis techniques based on spectral models for extracting expressive features such as pitch, timing, and amplitude representing both note characteristics and the musical context in which they appear. Our results indicate that the features extracted contain sufficient information to distinguish the considered performers, and the explored machine learning methods are capable of learning the expressive patterns that characterize each of the interpreters.
dc.description.sponsorship This work was supported by the Spanish Ministry of Science and Innovation under grant TIN2009-14247- C02-01 DRIMS Project.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Taylor & Francis (Routledge)
dc.relation.ispartof Journal of New Music Research. 2011;40(2):165-74
dc.rights © Taylor & Francis. This is an electronic version of an article published in Ramirez R, Maestre E, Perez A, Serra X. Automatic performer identification in celtic violin audio recordings. J New Music Res. 2011;40(2):165-74. Journal of New Music Research is available online at: https://www.tandfonline.com/doi/abs/10.1080/09298215.2011.572171
dc.title Automatic performer identification in celtic violin audio recordings
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1080/09298215.2011.572171
dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2009-142
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

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