TitleA case based approach to expressivity-aware tempo transformation
Publication TypeJournal Article
Year of Publication2006
AuthorsGrachten M, Arcos JLluis, de Mántaras RLópez
JournalMachine Learning
Volume65
Number2-3
Pagination411-437
Abstract

The research presented in this paper focuses on global tempo transformations of monophonic audio recordings of saxophone jazz performances. We are investigating the problem of how a performance played at a particular tempo can be rendered automatically at another tempo, while preserving naturally sounding expressivity. Or, differently stated, how does expressiveness change with global tempo. Changing the tempo of a given melody is a problem that cannot be reduced to just applying a uniform transformation to all the notes of a musical piece. The expressive resources for emphasizing the musical structure of the melody and the affective content differ depending on the performance tempo. We present a case-based reasoning system called TempoExpress for addressing this problem, and describe the experimental results obtained with our approach.