Modeling expressive music performance in jazz
Rafael Ramírez, Amaury Hazan · 2005
In this paper we describe a machine learning approach to one of the most challenging aspects of computer music: mod-eling the knowledge applied by a musician when perform-ing 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 knowl-edge.