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

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.