A sequential covering evolutionary algorithm for expressive music performance

  • Authors:
  • Rafael Ramirez;Amaury Hazan;Jordi Mariner;Esteban Maestre

  • Affiliations:
  • Music Technology Group, Pompeu Fabra University, Barcelona, Spain;Music Technology Group, Pompeu Fabra University, Barcelona, Spain;Music Technology Group, Pompeu Fabra University, Barcelona, Spain;Music Technology Group, Pompeu Fabra University, Barcelona, Spain

  • Venue:
  • IAAI'06 Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
  • Year:
  • 2006

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Abstract

In this paper, we describe an evolutionary approach to one of the most challenging problems in computer music: modeling the knowledge applied by a musician when performing a score of a piece in order to produce an expressive performance of the piece. We extract a set of acoustic features from Jazz recordings thereby providing a symbolic representation of the musician's expressive performance. By applying a sequential covering evolutionary algorithm to the symbolic representation, we obtain an expressive performance computational model capable of endowing a computer generated music performance with the timing and energy expressiveness that characterizes human generated music.