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Playing with cases: Tempo Transformations of Jazz Performances using Case-Based Reasoning

AutorLópez de Mántaras, Ramón ; Grachten, Maarten; Arcos Rosell, Josep Lluís
Palabras claveArtificial Intelligence
Case-Based Reasoning
AI & Music
Fecha de publicación2007
EditorAAAI Press
CitaciónFLAIRS 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
ResumenThe 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.
DescripciónInvited paper at the FLAIRS'07 The original publication is available at www.aaai.org/Press
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