Learning stochastic finite automata for musical style recognition

Authors:
Colin de la Higuera;Frédéric Piat;Frédéric Tantini
Affiliations:
EURISE, Université de Saint-Etienne, Saint-Etienne, France;EURISE, Université de Saint-Etienne, Saint-Etienne, France;EURISE, Université de Saint-Etienne, Saint-Etienne, France
Venue:
CIAA'05 Proceedings of the 10th international conference on Implementation and Application of Automata
Year:
2005

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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.