Using factor oracles for machine improvisation

被引：0
|
作者：
Assayag, G [1 ]
Dubnov, S [1 ]
机构：
[1] CNRS, UMR 9912, Ircam, F-75004 Paris, France
来源：
SOFT COMPUTING | 2004年 / 8卷 / 09期
关键词：
variable markov models; machine learning; computer music; improvisation; suffix trees; prediction suffix trees; incremental parsing; factor oracle;
D O I：
10.1007/s00500-004-0385-4
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：604 / 610
页数：7
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