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dc.creatorArcos, Josep Ll.-
dc.creatorGrachten, Maarten-
dc.creatorLopez de Mantaras, Ramon-
dc.date2008-03-04T13:25:41Z-
dc.date2008-03-04T13:25:41Z-
dc.date2003-
dc.date.accessioned2017-01-31T01:00:34Z-
dc.date.available2017-01-31T01:00:34Z-
dc.identifierCase-Based Reasoning Research and Development, 5th. International Conference on Case-Based Reasoning, ICCBR 2003 Trondheim, Norway, June 2003, Proceedings. Lecture Notes in Artificial Intelligence Vol. 2689, p.p.: 20-34, Springer-Verlag, 2003.-
dc.identifier3-540-40433-3-
dc.identifier0302-9743-
dc.identifierhttp://hdl.handle.net/10261/3148-
dc.identifier10.1007/3-540-45006-8_5-
dc.identifier.urihttp://dspace.mediu.edu.my:8181/xmlui/handle/10261/3148-
dc.descriptionBest Paper Award. The original publication is available at www.springerlink.com-
dc.descriptionIn this paper we describe a method, based on the edit distance, to construct cases of musical performances by annotating them with the musical behavior of the performer. The cases constructed with this knowledge are used in Tempo-Express, a CBR system for applying tempo transformations to musical performances, preserving musical expressiveness.-
dc.descriptionThis research has been partially supported by the Spanish Ministry of Science and Technology under the project TIC 2000-1094-C02 "Tabasco: Content-based Audio Transformation using CBR"-
dc.descriptionPeer reviewed-
dc.format203384 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherSpringer-
dc.rightsopenAccess-
dc.subjectArtificial Intelligence-
dc.subjectCase-Based Reasoning-
dc.titleExtracting Performers' Behaviors to Annotate Cases in a CBR System for Musical Tempo Transformations-
dc.typeArtículo-
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