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Using factor oracles for machine improvisation

delete2004-08-20
delete61
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OA
AI
G
Gérard Assayag
S
Shlomo Dubnov
DOI：10.1007/s00500-004-0385-4delete
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Abstract

Abstract

En 中文
We describe variable markov models we have used for statistical learning of musical sequences, then we present the factor oracle, a data structure proposed by Crochemore & al for string matching. We show the relation between this structure and the previous models and indicate how it can be adapted for learning musical sequences and generating improvisations in a real-time context.
Keywords:
variable markov models
machine learning
computer music
improvisation
suffix trees
prediction suffix trees
incremental parsing
factor oracle

Journal

Soft Computing cover
Soft Computing
IF:
2.5
Papers:
1.0W
Citations:
2.1W

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No organization information available