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Composing Using Heterogeneous Cellular Automata

  • Somnuk Phon-Amnuaisuk
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5484)

Abstract

Music composition is a highly intelligent activity. Composers exploit a large number of possible patterns and creatively compose a new piece of music by weaving various patterns together in a musically intelligent manner. Many researchers have investigated algorithmic compositions and realised the limitations of knowledge elicitation and knowledge exploitation in a given representation/computation paradigm. This paper discusses the applications of heterogeneous cellular automata (hetCA) in generating chorale melodies and Bach chorales harmonisation. We explore the machine learning approach in learning rewrite-rules of cellular automata. Rewrite-rules are learned from music examples using a time-delay neural network. After the hetCA has successfully learned musical patterns from examples, new compositions are generated from the hetCA model.

Keywords

Composing by heterogeneous cellular automata Dynamic neural networks Automatic music generation Chorales 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Somnuk Phon-Amnuaisuk
    • 1
  1. 1.Music Informatics Research GroupMultimedia University, Jln MultimediaCyberjayaMalaysia

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