Evolving computer-generated music by means of the normalized compression distance

Authors:
Manuel Alfonseca;Manuel Cebrián;Alfonso Ortega
Affiliations:
Escuela Politécnica Superior, Universidad Autónoma de Madrid, Spain;Escuela Politécnica Superior, Universidad Autónoma de Madrid, Spain;Escuela Politécnica Superior, Universidad Autónoma de Madrid, Spain
Venue:
SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization
Year:
2005

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Abstract

This paper proposes the use of the well-known normalized compression distance as a fitness function which may be used by genetic algorithms to automatically generate music in a given pre-defined style. The superiority of the relative pitch envelope over other musical parameters, such as the lengths of the notes, has been confirmed, bringing us to develop a simplified algorithm that nevertheless obtains interesting results.