Beyond MIDI: the handbook of musical codes
Beyond MIDI: the handbook of musical codes
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Bootstrapping Syntax and Recursion using Alginment-Based Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
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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.