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Modeling expressive music performance in jazz

Title Modeling expressive music performance in jazz
Publication Type Conference Paper
Year of Publication 2005
Conference Name International Florida Artificial Intelligence Research Society Conference
Authors Ramirez, R. , & Hazan A.
Abstract In 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 document files/publications/FLAIRS05-RamirezHazan.pdf