Markov Chain Composition
Markov Chain Composition is a method of algorithmic composition that generates musical sequences by modeling transitions between musical events as a Markov process, where the probability of each subsequent event depends only on the current state.
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1.4K
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76
Authors
61
Institutions
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2017–2026
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The Markov Process as a Compositional Model: A Survey and Tutorial
Charles Ames · Leonardo · 1989 · 129 citations
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Canadian Nautical Research Society
Ottawa, Canada
2 h-index
2 publications
33 citations

University of Naples Federico II
Naples, Italy
2 h-index
2 publications
23 citations
Australian Regenerative Medicine Institute
Clayton, Australia
2 h-index
2 publications
62 citations

Imperial College London
London, United Kingdom
2 h-index
3 publications
85 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
2 publications
26 citations

Monash University
Melbourne, Australia
2 h-index
2 publications
62 citations
University of California, Irvine
Irvine, United States
2 h-index
2 publications
22 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
4 publications
74 citations
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JAP · 2 publications · 62 citations
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1 publications · 10 citations
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1 publications · 82 citations
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1 publications · 11 citations
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1 publications · 15 citations
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