Integrating background musical knowledge in a CBR system for generating expressive musical performances

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• dc.contributor.author Arcos, Josep Lluísca
• dc.contributor.author López de Mántaras, Ramonca
• dc.contributor.author Serra, Xavierca
• dc.date.accessioned 2018-02-19T11:37:22Z
• dc.date.available 2018-02-19T11:37:22Z
• dc.date.issued 1998
• dc.description.abstract This paper briefly describes a system called SaxEx, capable of generating expressive musical performances based on examples. We have done several recordings of a tenor sax expressively playing Jazz ballads. These recordings are analyzed, using spectral modelling techniques, to extract information related to five expressive parametres. The results of this analysis, together with the score, constitute the set of examples (cases) of the case-based component of SaxEx. From these examples, plus background musical knowledge based on Narmour's implication/realization theory of music perception and Lerdahl and Jackendoff's generative theory of tonal music understanding (GTTM), SaxEx is able to infer a set of expressive transformations to apply to any given input sound file containing an expressive musical phrase of another ballad. Finally, SaxEx uses its spectral synthesis capabilities to actually apply the inferred transformations to the input sound file resulting in an expressive sound file at the output.
• dc.format.mimetype application/pdf
• dc.identifier.citation Arcos JL, López de Mántaras R, Serra X. Integrating background musical knowledge in a CBR system for generating expressive musical performances. In: Aha D, Daniels JJ, editors. Case-Based Reasoning Integrations: Papers from the 1998 AAAI Workshop; 1998 Jul 27; Madison, Wisconsin, USA. Palo Alto: AAAI Press; 1998. p. 12-6.
• dc.identifier.isbn 978-1-57735-068-2
• dc.identifier.uri http://hdl.handle.net/10230/33933
• dc.language.iso eng
• dc.publisher Association for the Advancement of Artificial Intelligence (AAAI)ca
• dc.relation.ispartof Aha D, Daniels JJ, editors. Case-Based Reasoning Integrations: Papers from the 1998 AAAI Workshop; 1998 Jul 27; Madison, Wisconsin, USA. Palo Alto: AAAI Press; 1998. p. 12-6.
• dc.rights © 1998, Association for the Advancement of Artificial Intelligence (www.aaai.org)
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.title Integrating background musical knowledge in a CBR system for generating expressive musical performancesca
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion