Using Factor Oracles for Machine Improvisation

Authors:
G. Assayag;S. Dubnov
Affiliations:
Cnrs 9912, Ircam - UMR, 1 Place Stravinsky, F-75004, Paris, France;Cnrs 9912, Ircam - UMR, 1 Place Stravinsky, F-75004, Paris, France
Venue:
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Year:
2004

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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.