Using machine-learning methods for musical style modeling

Shlomo Dubnov; Gerard Assayag; Olivier Lartillot; Gill Bejerano

doi:10.1109/MC.2003.1236474

Using machine-learning methods for musical style modeling

Shlomo Dubnov
, Gerard Assayag
, Olivier Lartillot
, Gill Bejerano

Research output: Contribution to specialist publication › Article

94 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 language	English
Pages	73-80
Number of pages	8
Volume	36
No	10
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2003.1236474
State	Published - 1 Oct 2003

ASJC Scopus subject areas

General Computer Science

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10.1109/MC.2003.1236474

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title = "Using machine-learning methods for musical style modeling",

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.",

author = "Shlomo Dubnov and Gerard Assayag and Olivier Lartillot and Gill Bejerano",

note = "Funding Information: Gill Bejerano{\textquoteright}s work was partially supported by a grant from Israel{\textquoteright}s Ministry of Science.",

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AU - Dubnov, Shlomo

AU - Assayag, Gerard

AU - Lartillot, Olivier

AU - Bejerano, Gill

N1 - Funding Information: Gill Bejerano’s work was partially supported by a grant from Israel’s Ministry of Science.

PY - 2003/10/1

Y1 - 2003/10/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0142135034

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DO - 10.1109/MC.2003.1236474

M3 - Article

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SN - 0018-9162

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JO - Computer

JF - Computer

ER -

Using machine-learning methods for musical style modeling

Abstract

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