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Using Factor Oracles for Machine Improvisation

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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.

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Authors and Affiliations

  1. Ircam - UMR, Cnrs 9912, 1 Place Stravinsky, F-75004, Paris, France

    G. Assayag & S. Dubnov

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  1. G. Assayag
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  2. S. Dubnov
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Correspondence to G. Assayag.

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Assayag, G., Dubnov, S. Using Factor Oracles for Machine Improvisation. Soft Computing 8, 604–610 (2004). https://doi.org/10.1007/s00500-004-0385-4

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  • DOI: https://doi.org/10.1007/s00500-004-0385-4

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