|Title||TempoExpress: An expresivity-preserving musical tempo transformation system|
|Publication Type||Conference Paper|
|Year of Publication||2006|
|Authors||Grachten M, Arcos JLluis, de Mántaras RLópez|
|Conference Name||21st National Conference on Artificial Intelligence (AAAI-06), Boston, USA, 16-20 July 2006|
The research described in this paper focuses on global tempo transformations of monophonic audio recordings of saxophone jazz performances. More concretely, 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. 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 show that our approach is superior to UTS.
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