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Composing Music with Neural Networks and Probabilistic Finite-State Machines

  • Tomasz Oliwa
  • Markus Wagner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4974)

Abstract

In this paper, biological (human) music composition systems based on Time Delay Neural Networks and Ward Nets and on a probabilistic Finite-State Machine will be presented. The systems acquire musical knowledge by inductive learning and are able to produce complete musical scores for multiple instruments and actual music in the MIDI format. The quality of our approaches is analyzed in objective and subjective manner with existing techniques.

Keywords

Biological Inspired Music Music Composition Representation Techniques Comparative Analysis Time Delay Neural Networks Finite State Machines Inductive Learning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Tomasz Oliwa
    • 1
    • 2
  • Markus Wagner
    • 1
    • 2
  1. 1.Artificial Intelligence CenterUniversity of Georgia 
  2. 2.Institute for Computer ScienceUniversity of Koblenz-Landau 

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