Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3265
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dc.creatorLopez de Mantaras, Ramon-
dc.creatorGrachten, Maarten-
dc.creatorArcos, Josep Ll.-
dc.date2008-03-19T13:05:02Z-
dc.date2008-03-19T13:05:02Z-
dc.date2007-
dc.date.accessioned2017-01-31T01:00:51Z-
dc.date.available2017-01-31T01:00:51Z-
dc.identifierFLAIRS 2007. Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, Key West, Florida, May 5-9, 2007. AAAI Press, p.p.: 8-11, 2007-
dc.identifier978-1-57735-319-5-
dc.identifierhttp://hdl.handle.net/10261/3265-
dc.identifier.urihttp://dspace.mediu.edu.my:8181/xmlui/handle/10261/3265-
dc.descriptionInvited paper at the FLAIRS'07 The original publication is available at www.aaai.org/Press-
dc.descriptionThe research described here focuses on global tempo transformations of monophonic recordings of saxophone jazz performances. We have investigated the problem of how a performance played at a particular tempo can be automatically rendered at another tempo while preserving its expressivity. That is, listeners should not be able to notice, from the expressivity of a performance, that has been scaled up or down from another tempo. To do so, we have developed a case-based reasoning system called TempoExpress. The results we have obtained have been extensively compared against a standard technique called Uniform Time Stretching (UTS), and we show that our approach is superior to UTS.-
dc.descriptionPeer reviewed-
dc.format34972 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherAAAI Press-
dc.rightsopenAccess-
dc.subjectArtificial Intelligence-
dc.subjectCase-Based Reasoning-
dc.subjectCBR-
dc.subjectTempoExpress-
dc.subjectAI & Music-
dc.titlePlaying with cases: Tempo Transformations of Jazz Performances using Case-Based Reasoning-
dc.typeComunicación de congreso-
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