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Evolutionary Computing for Expressive Music Performance

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The Art of Artificial Evolution

Part of the book series: Natural Computing Series ((NCS))

Summary

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 an evolutionary algorithm to the symbolic representation, we obtain an interpretable expressive performance computational model. We use the model to generate automatically performances with the timing and energy expressiveness of a human saxophonist.

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Author information

Authors and Affiliations

  1. Pompeu Fabra University, Music Technology Group, Ocata 1, 08003 Barcelona, Spain

    Rafael Ramirez, Amaury Hazan, Jordi Marine & Xavier Serra

Authors
  1. Rafael Ramirez
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  2. Amaury Hazan
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  3. Jordi Marine
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  4. Xavier Serra
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Editor information

Editors and Affiliations

  1. Department of Information and Communication Technologies, University of A Coruña Campus de Elvina, 15071 La Coruña, Spain

    Juan Romero

  2. CISUC Dept. of Informatics Engineering, University of Coimbra, 3030 Coimbra, Portugal

    Penousal Machado

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© 2008 Springer-Verlag Berlin Heidelberg

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Ramirez, R., Hazan, A., Marine, J., Serra, X. (2008). Evolutionary Computing for Expressive Music Performance. In: Romero, J., Machado, P. (eds) The Art of Artificial Evolution. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72877-1_6

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  • DOI: https://doi.org/10.1007/978-3-540-72877-1_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72876-4

  • Online ISBN: 978-3-540-72877-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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