Using machine-learning methods for musical style modeling

Shlomo Dubnov, Gerard Assayag, Olivier Lartillot, Gill Bejerano

Research output: Contribution to specialist publicationArticle

88 Scopus citations

Abstract

Machine learning consists of deriving a mathematical model, such as a set of stochastic rules, from a set of musical examples. The act of musical composition involves a highly structured mental process. Research using statistical and information-theoretic tools provides inference and prediction models that, to a certain extent, can generate new musical works imitating the style of the great masters.

Original languageEnglish
Pages73-80
Number of pages8
Volume36
No10
Specialist publicationComputer
DOIs
StatePublished - 1 Oct 2003

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