Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 604-610 |
| Number of pages | 7 |
| Journal | Soft Computing |
| Volume | 8 |
| Issue number | 9 |
| DOIs | |
| State | Published - 1 Dec 2004 |
| Externally published | Yes |
Keywords
- Computer music
- Factor oracle
- Improvisation
- Incremental parsing
- Machine learning
- Prediction suffix trees
- Suffix trees
- Variable markov models
ASJC Scopus subject areas
- Theoretical Computer Science
- Software
- Geometry and Topology
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