Modeling expressive music performance in jazz

TitleModeling expressive music performance in jazz
Publication TypeConference Paper
Year of Publication2005
Conference NameInternational Florida Artificial Intelligence Research Society Conference
AuthorsRamirez, R., & Hazan A.
AbstractIn this paper we describe a machine learning approach to one of the most challenging aspects of computer music modeling the knowledge applied by a musician when performing a score in order to produce an expressive performance of a piece. We apply machine learning techniques to a set of monophonic recordings of Jazz standards in order to induce both rules and a numeric model for expressive performance.
We implement a tool for automatic expressive performance transformations of Jazz melodies using the induced knowledge.
preprint/postprint documentfiles/publications/FLAIRS05-RamirezHazan.pdf
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