Skip to main content

Swarm Tech-Tiles Tim

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 3449)

Abstract

This paper describes an exploration of visual and sonic texture. These textures are linked by a swarm of “tech-tiles”, where each tech-tile is a rectangular element of an image or a sequence of audio samples. An entire image can be converted to a single tech-tile, which can be performed as a composition, or a swarm of small tiles can fly over the image, generating a sonic improvisation. In each case, spatial (visual) structure is mapped into temporal (sonic) structure. The construction of a tech-tile from an image file or a sound clip and the swarm/attractor dynamics is explained in some detail. A number of experiments report on the sonic textures derived from various images.

Keywords

  • Particle Swarm Optimization
  • Particle Position
  • Audio Stream
  • Visual Texture
  • Audio Sample

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.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-540-32003-6_47
  • Chapter length: 10 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   129.00
Price excludes VAT (USA)
  • ISBN: 978-3-540-32003-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   169.00
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Athineos, M., Ellis, D.: Sound Texture Modeling with Linear Prediction in both Time and Frequency Domains. In: Proceedings of ICASSP 2003, Hong Kong (2003)

    Google Scholar 

  2. Bailey, D.: Improvisation: its Nature and Practice in Music. The British Library Sound Archive, London (1992)

    Google Scholar 

  3. Bonabeau, E., Dorigo, M., Theraulaz, T.: From Natural to Artificial Swarm Intelligence. Oxford University Press, New York (1999)

    MATH  Google Scholar 

  4. Blackwell, T.: Swarm Music: Improvised Music with Multi-Swarms. In: Proc. AISB 2003 Symposium on Artificial Intelligence and Creativity in Arts and Science, pp. 41–49 (2003)

    Google Scholar 

  5. Blackwell, T., Young, M.: Self-Organised Music. Organised Sound 9(2), 123–136 (2004)

    CrossRef  Google Scholar 

  6. Coltrane, J.: Ascension. Impulse! Records (2000)

    Google Scholar 

  7. Howard, J.: Learning to Compose. Cambridge University Press, Cambridge (1990)

    Google Scholar 

  8. Jain, R., Kasturi, R., Schunck, B.: Machine Vision. McGraw-Hill, New York (1995)

    Google Scholar 

  9. Jefferies, J.: Uniform and Laundry (Restaged I). Produced at the Centre for Contemporary Textiles, Montreal (2003)

    Google Scholar 

  10. Kennedy, J., Eberhart, R.: Swarm Intelligence. Morgan Kaufmann, San Francisco (2001)

    Google Scholar 

  11. Macy, L. (ed): ‘Texture’, Grove Music Online (Accessed November 3, 2004), http://www.grovemusic.com

  12. Reynolds, C.: Flocks, Herds, and Schools: A Distributed Behavioural Model. In: SIGGRAPH 1987, vol. 21(4), pp. 25–34 (1987)

    Google Scholar 

  13. Roads, C.: Microsound. MIT Press, Cambridge (2001)

    Google Scholar 

  14. Wishart, T.: On Sonic Art Revised Edition. Harwood Academic, Amsterdam (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Blackwell, T., Jefferies, J. (2005). Swarm Tech-Tiles Tim. In: , et al. Applications of Evolutionary Computing. EvoWorkshops 2005. Lecture Notes in Computer Science, vol 3449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32003-6_47

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-32003-6_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25396-9

  • Online ISBN: 978-3-540-32003-6

  • eBook Packages: Computer ScienceComputer Science (R0)