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Learning Stochastic Finite Automata for Musical Style Recognition

  • Colin de la Higuera
  • Frédéric Piat
  • Frédéric Tantini
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3845)

Abstract

We use stochastic deterministic finite automata to model musical styles: a same automaton can be used to classify new melodies but also to generate them. Through grammatical inference these automata are learned and new pieces of music can be parsed. We show that this works by proposing promising classification results.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Colin de la Higuera
    • 1
  • Frédéric Piat
    • 1
  • Frédéric Tantini
    • 1
  1. 1.EURISE, Université de Saint-EtienneSaint-EtienneFrance

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