Understanding expressive music performance using genetic algorithms

TitleUnderstanding expressive music performance using genetic algorithms
Publication TypeConference Paper
Year of Publication2005
Conference NameLecture Notes in Computer Science 3449
AuthorsRamirez, R., & Hazan A.
AbstractIn this paper, we describe an approach to learning expressive performance rules from monophonic Jazz standards recordings by a skilled saxophonist. We use a melodic transcription system which extracts a set of acoustic features from the recordings producing a melodic representation of the expressive performance played by the musician. We apply genetic algorithms to this representation in order to induce rules of expressive music performance. It turns out that some of the induced rules represent extremely simple principles which are surprisingly general.
preprint/postprint documentfiles/publications/Evomusart05-RamirezHazan.pdf