Rule induction for expressive music performance modeling

TitleRule induction for expressive music performance modeling
Publication TypeConference Paper
Year of Publication2004
AuthorsRamirez, R., & Hazan A.
AbstractModeling expressive music performance is one of the most challenging aspects of computer music. In this paper we investigate the use of rule induction methods for mining monophonic Jazz standards recordings by a skilled saxophone player. In particular, we propose a rule induction algorithm which produces good prediction accuracy while allowing a straightforward interpretation of the prediction model. We implement a tool for automatic expressive performance transformations of Jazz melodies using the induced model.
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