Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3099
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dc.creatorGrachten, Maarten-
dc.creatorArcos, Josep Ll.-
dc.creatorLopez de Mantaras, Ramon-
dc.date2008-02-27T16:07:56Z-
dc.date2008-02-27T16:07:56Z-
dc.date2004-
dc.date.accessioned2017-01-31T01:00:26Z-
dc.date.available2017-01-31T01:00:26Z-
dc.identifierAdvances in Case-Based Reasoning, 7th European Conference, ECCBR 2004 Madrid, Spain, August/ September 2004 Proceedings. Lecture Notes in Artificial Intelligence Vol. 3155, p.p.: 601-615, Springer Verlag, 2004.-
dc.identifier3-540-22882-9-
dc.identifier0302-9743-
dc.identifierhttp://hdl.handle.net/10261/3099-
dc.identifier.urihttp://dspace.mediu.edu.my:8181/xmlui/handle/10261/3099-
dc.descriptionThe original publication is available at www.springerlink.com-
dc.descriptionIn this paper, we describe a CBR system for applying musically acceptable tempo transformations to monophonic audio recordings of musical performances. Within the tempo transformation process, the expressivity of the performance is adjusted in such a way that the result sounds natural for the new tempo. A case base of previously performed melodies is used to infer the appropriate expressivity. Tempo transformation is one of the audio post-processing tasks manually done in audiolabs. Automatizing this process may, therefore, be of industrial interest.-
dc.descriptionThis research has been partially supported by the Spanish Ministry of Science and Technology under the project TIC 2003-07776-C2-02 "CBR-ProMusic: Content-based Music Processing using CBR" and EU-FEDER funds.-
dc.descriptionPeer reviewed-
dc.format252465 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherSpringer-
dc.rightsopenAccess-
dc.subjectArtificial Intelligence-
dc.subjectTempoExpress-
dc.subjectCase-Based Reasoning-
dc.titleTempo-Express, a CBR Approach to Musical Tempo Transformations-
dc.typeArtículo-
Appears in Collections:Digital Csic

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