Automatic polyphonic music composition using the EMILE and ABL grammar inductors

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Abstract

In this paper we present a method for automatic polyphonic music composition using the ABL and EMILE grammar inductors. To evaluate the performance of the EMILE and ABL engines we use a voting classification scheme based on TF.IDF weighting-we show a novel adaptation of the n-gram concept for music classification. We performed experiments with six musical MIDI collections from a different classical music composer each (Bach, Chopin, Liszt, Schubert, Mozart and Haydn). For each composer we applied our method to obtain five new polyphonic music compositions, and then we tested the membership of the new compositions with regard to every composer. We found that new compositions have similar membership to the set of composer styles than natural compositions. We conclude that our method is capable of creating new, relatively original compositions in the same musical style of each author. © 2008 Springer-Verlag Berlin Heidelberg.

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APA

Ortega-Pacheco, D., & Calvo, H. (2008). Automatic polyphonic music composition using the EMILE and ABL grammar inductors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5197 LNCS, pp. 758–766). https://doi.org/10.1007/978-3-540-85920-8_92

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