A Genetic rule-based expressive performance model for jazz saxophone
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- dc.contributor.author Ramírez, Rafael,1966-ca
- dc.contributor.author Hazan, Amauryca
- dc.contributor.author Maestre Gómez, Estebanca
- dc.contributor.author Serra, Xavierca
- dc.date.accessioned 2018-03-29T08:29:57Z
- dc.date.available 2018-03-29T08:29:57Z
- dc.date.issued 2008
- dc.description.abstract We describe an evolutionary approach to inducing a generative model of expressive music performance for Jazz saxophone. We begin with a collection of audio recordings of real Jazz saxophone performances from which we extract a symbolic representation of the musician's expressive performance. We then apply an evolutionary algorithm to the symbolic representation in order to obtain computational models for different aspects of expressive performance. Finally, we use these models to automatically synthesize performances with the timing and energy expressiveness that characterizes the music generated by a professional saxophonist.
- dc.description.sponsorship This work is supported by the Spanish TIN Project ProSeMus (TIN2006- 14932- C02- 01).
- dc.format.mimetype application/pdf
- dc.identifier.citation Ramírez R, Hazan A, Maestre E, Serra X. A Genetic rule-based expressive performance model for jazz saxophone. Computer Music Journal. 2008; 32(1): 38-50. DOI: 10.1162/comj.2008.32.1.38
- dc.identifier.doi http://dx.doi.org/10.1162/comj.2008.32.1.38
- dc.identifier.issn 0148-9267
- dc.identifier.uri http://hdl.handle.net/10230/34275
- dc.language.iso eng
- dc.publisher MIT Pressca
- dc.relation.ispartof Computer Music Journal. 2008; 32(1): 38-50.
- dc.relation.projectID info:eu-repo/grantAgreement/ES/2PN/TIN2006-14932-C02-01
- dc.rights © MIT Press (Publisher version at http://mitpress.mit.edu)
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.title A Genetic rule-based expressive performance model for jazz saxophoneca
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion