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A Generative Representation for the Evolution of Jazz Solos

  • Conference paper
  • 2006 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4974))

Abstract

This paper describes a system developed to create computer based jazz improvisation solos. The generation of the improvisation material uses interactive evolution, based on a dual genetic representation: a basic melody line representation, with energy constraints (“rubber band”) and a hierarchic structure of operators that processes the various parts of this basic melody. To be able to listen to and evaluate the result in a fair way, the computer generated solos have been imported into a musical environment to form a complete jazz composition. The focus of this paper is on the data representations developed for this specific type of music. This is the first published part of an ongoing research project in generative jazz, based on probabilistic and evolutionary strategies.

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Mario Giacobini Anthony Brabazon Stefano Cagnoni Gianni A. Di Caro Rolf Drechsler Anikó Ekárt Anna Isabel Esparcia-Alcázar Muddassar Farooq Andreas Fink Jon McCormack Michael O’Neill Juan Romero Franz Rothlauf Giovanni Squillero A. Şima Uyar Shengxiang Yang

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© 2008 Springer-Verlag Berlin Heidelberg

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Bäckman, K., Dahlstedt, P. (2008). A Generative Representation for the Evolution of Jazz Solos. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2008. Lecture Notes in Computer Science, vol 4974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78761-7_40

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  • DOI: https://doi.org/10.1007/978-3-540-78761-7_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78760-0

  • Online ISBN: 978-3-540-78761-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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