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Workshops on Applications of Evolutionary Computation

EvoWorkshops 2004: Applications of Evolutionary Computing pp 399–408Cite as

Swarm Granulator

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Part of the Lecture Notes in Computer Science book series (LNCS,volume 3005)

Abstract

This paper describes a Swarm Granulator, a new application of particle swarms to sound synthesis. Granulation, an established technique in sound synthesis, depends on many parameters which are non-intuitive and hard to control from a human perspective. It is proposed here that a particle swarm can organize these parameters and produce musically interesting and novel timbres. A crucial element of the system is the self-organization of grain parameters around attractors which themselves represent musical events and textures in an external environment. This means that Swarm Granulator is interactive, and not merely reactive.

Keywords

  • Particle Swarm
  • Coulomb Repulsion
  • Particle Position
  • Musical Experience
  • Musical Structure

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-540-24653-4_41
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Author information

Authors and Affiliations

  1. Goldsmiths College, Department of Computing, University of London, New Cross, London, SE14 6NW, U.K.

    Tim Blackwell

  2. Goldsmiths College, Department of Music, University of London, New Cross, London, SE14 6NW, U.K.

    Michael Young

Authors
  1. Tim Blackwell
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  2. Michael Young
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Editor information

Editors and Affiliations

  1. Institute of Computer Graphics and Algorithms, Vienna University of Technology, Favoritenstraße 9–11/1861, 1040, Vienna, Austria

    Günther R. Raidl

  2. Dipartimento di Ingegneria dell’Informazione, Università di Parma,  

    Stefano Cagnoni

  3. Institute AIFB, University of Karlsruhe, 76128, Karlsruhe, Germany

    Jürgen Branke

  4. School of Mathematical and Computer Science, Heriot-Watt University, EH14 8AS, Edinburgh, UK

    David Wolfe Corne

  5. Institute of Computer Science, University of Bremen, 28359, Bremen, Germany

    Rolf Drechsler

  6. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

  7. Computing Laboratory, University of Kent, Canterbury, UK

    Colin G. Johnson

  8. CISUC, Department of Informatics Engineering, University of Coimbra, Polo II of the University of Coimbra, 3030, Coimbra, Portugal

    Penousal Machado

  9. ICIS, Radboud University Nijmegen, The Netherlands

    Elena Marchiori

  10. Johannes Gutenberg University, Mainz, Germany

    Franz Rothlauf

  11. School of Computing Sciences, UEA Norwich, University of East Anglia, NR4 7TJ, Norwich, UK

    George D. Smith

  12. Dipartimento di Automatica e Informatica, Politecnico di Torino, Italy

    Giovanni Squillero

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© 2004 Springer-Verlag Berlin Heidelberg

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Blackwell, T., Young, M. (2004). Swarm Granulator. In: , et al. Applications of Evolutionary Computing. EvoWorkshops 2004. Lecture Notes in Computer Science, vol 3005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24653-4_41

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  • DOI: https://doi.org/10.1007/978-3-540-24653-4_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21378-9

  • Online ISBN: 978-3-540-24653-4

  • eBook Packages: Springer Book Archive