TitleTempoExpress: An expresivity-preserving musical tempo transformation system
Publication TypeConference Paper
Year of Publication2006
AuthorsGrachten M, Arcos JLluis, de Mántaras RLópez
Conference Name21st National Conference on Artificial Intelligence (AAAI-06), Boston, USA, 16-20 July 2006
Volume2
PublisherAAAI Press
Pagination1609-1612
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.