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
Volume4314
PublisherSpringer
Pagination1-6
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 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.