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Workshops on Applications of Evolutionary Computation

EvoWorkshops 2009: Applications of Evolutionary Computing pp 579–584Cite as

Elevated Pitch: Automated Grammatical Evolution of Short Compositions

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5484))

Abstract

A system for automatic composition using grammatical evolution is presented. Music is created under the constraints of a generative grammar, and under the bias of an automatic fitness function and evolutionary selection. This combination of two methods is seen to be powerful and flexible. Human evaluation of automatically-evolved pieces shows that a more sophisticated grammar in combination with a naive fitness function gives better results than the reverse.

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References

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Author information

Authors and Affiliations

  1. Trinity College Dublin, Ireland

    John Reddin

  2. University College Dublin, Ireland

    James McDermott & Michael O’Neill

Authors
  1. John Reddin
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  2. James McDermott
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  3. Michael O’Neill
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Editor information

Editors and Affiliations

  1. Department of Animal Production Epidemiology and Ecology, University of Torino, Via Leonardo da Vinci 44, 10095, Grugliasco, Italy

    Mario Giacobini

  2. Quinn School of Business, Belfield, University College Dublin, Dublin 4, Ireland

    Anthony Brabazon

  3. Department of Computer Engineering, University of Parma, Viale Usberti 181/a, 43100, Parma, Italy

    Stefano Cagnoni

  4. Dalla Molle Institute for Artificial Intelligence (IDSIA), Gallelria 2, 6928, Manno-Lugano, Switzerland

    Gianni A. Di Caro

  5. School of Engineering and Applied Science,Aston Triangle, Aston University, B4 7ET, Birmingham, UK

    Anikó Ekárt

  6. Complex Adaptive Systems Group, Instituto Tecnológico de Informática, Ciudad PolitŽcnica de la Innovacin, Edif. 8G Acceso B, 46022, Valencia, Spain

    Anna Isabel Esparcia-Alcázar

  7. Next Generation Itelligent Networks Research Center (nexGIN RC), National University of Computer and Emerging Sciences (NUCES), Islamabad, Pakistan

    Muddassar Farooq

  8. Faculty of Economics and Social Sciences, Helmut-Schmidt-University, Holstenhofweg 85, 22043, Hamburg, Germany

    Andreas Fink

  9. Department of Informatics Engineering, Polo II - Pinhal de Marrocos, University of Coimbra, 3030 - 290, Coimbra, Portugal

    Penousal Machado

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© 2009 Springer-Verlag Berlin Heidelberg

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Cite this paper

Reddin, J., McDermott, J., O’Neill, M. (2009). Elevated Pitch: Automated Grammatical Evolution of Short Compositions. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_65

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  • DOI: https://doi.org/10.1007/978-3-642-01129-0_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01128-3

  • Online ISBN: 978-3-642-01129-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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