Chroma binary similarity and local alignment applied to cover song identification
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- dc.contributor.author Serrà Julià, Joanca
- dc.contributor.author Gómez Gutiérrez, Emilia, 1975-ca
- dc.contributor.author Herrera Boyer, Perfecto, 1964-ca
- dc.contributor.author Serra, Xavierca
- dc.date.accessioned 2012-03-02T10:49:59Z
- dc.date.available 2012-03-02T10:49:59Z
- dc.date.issued 2008ca
- dc.description.abstract We present a new technique for audio signal comparison based on tonal subsequence alignment and its application to detect cover versions (i.e., different performances of the same underlying musical piece). Cover song identification is a task whose popularity has increased in the Music Information Retrieval (MIR) community along in the past, as it provides a direct and objective way to evaluate music similarity algorithms./nThis article first presents a series of experiments carried out/nwith two state-of-the-art methods for cover song identification./nWe have studied several components of these (such as chroma resolution and similarity, transposition, beat tracking or Dynamic Time Warping constraints), in order to discover which characteristics would be desirable for a competitive cover song identifier. After analyzing many cross-validated results, the importance of these characteristics is discussed, and the best-performing ones are finally applied to the newly proposed method. Multiple/nevaluations of this one confirm a large increase in identification/naccuracy when comparing it with alternative state-of-the-art/napproaches.
- dc.format.mimetype application/pdfca
- dc.identifier.citation Serra J, Gómez E, Herrera P, Serra X. Chroma binary similarity and local alignment applied to cover song identification. IEEE Transactions on Audio, Speech and Language Processing. 2008; 16(6): 1138-1151. DOI 10.1109/TASL.2008.924595ca
- dc.identifier.doi http://dx.doi.org/10.1109/TASL.2008.924595
- dc.identifier.issn 1558-7916ca
- dc.identifier.uri http://hdl.handle.net/10230/16277
- dc.language.iso engca
- dc.publisher Institute of Electrical and Electronics Engineers (IEEE)ca
- dc.relation.ispartof IEEE Transactions on Audio, Speech and Language Processing. 2008; 16(6): 1138-1151
- dc.rights © 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works./nThe final published article can be found at (http://dx.doi.org/10.1109/TASL.2008.924595)ca
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Acoustic signal analysis
- dc.subject.keyword Dynamic programming
- dc.subject.keyword Information retrieval
- dc.subject.keyword Multidimensional sequences
- dc.subject.keyword Music
- dc.subject.other Tonalitat (Música)
- dc.subject.other Música
- dc.subject.other So -- Enregistrament i reproducció -- Tècniques digitals
- dc.title Chroma binary similarity and local alignment applied to cover song identificationca
- dc.type info:eu-repo/semantics/articleca
- dc.type.version info:eu-repo/semantics/acceptedVersion