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Extracting Performers' Behaviors to Annotate Cases in a CBR System for Musical Tempo Transformations

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dc.creator Arcos, Josep Ll.
dc.creator Grachten, Maarten
dc.creator Lopez de Mantaras, Ramon
dc.date 2008-03-04T13:25:41Z
dc.date 2008-03-04T13:25:41Z
dc.date 2003
dc.date.accessioned 2017-01-31T01:00:34Z
dc.date.available 2017-01-31T01:00:34Z
dc.identifier Case-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.identifier 3-540-40433-3
dc.identifier 0302-9743
dc.identifier http://hdl.handle.net/10261/3148
dc.identifier 10.1007/3-540-45006-8_5
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3148
dc.description Best Paper Award. The original publication is available at www.springerlink.com
dc.description In 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.description This 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.description Peer reviewed
dc.format 203384 bytes
dc.format application/pdf
dc.language eng
dc.publisher Springer
dc.rights openAccess
dc.subject Artificial Intelligence
dc.subject Case-Based Reasoning
dc.title Extracting Performers' Behaviors to Annotate Cases in a CBR System for Musical Tempo Transformations
dc.type Artículo


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