Tempoexpress: an expressivity-preserving musical tempo transformation system

Authors:
Maarten Grachten;Josep-Lluís Arcos;Ramon López de Mántaras
Affiliations:
IIIA-CSIC, Artificial Intelligence Research Institute, Spanish Council for Scientific Research, Bellaterra, Catalonia, Spain;IIIA-CSIC, Artificial Intelligence Research Institute, Spanish Council for Scientific Research, Bellaterra, Catalonia, Spain;IIIA-CSIC, Artificial Intelligence Research Institute, Spanish Council for Scientific Research, Bellaterra, Catalonia, Spain
Venue:
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Year:
2006

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Abstract

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.