TitleExpressivity-preserving Tempo Transformation for Music - A case.based approach
Publication TypeConference Paper
Year of Publication2007
Authorsde Mántaras RLópez, Grachten M, Arcos JLluis
Conference NameLecture Notes in Artificial Intelligence

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 develppoped 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.