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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
De La Higuera, C., Piat, F., & Tantini, F. (2006). Learning stochastic finite automata for musical style recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3845 LNCS, pp. 345–346). Springer Verlag. https://doi.org/10.1007/11605157_31
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