Skip to main content

Adaptive Walk on Fitness Soundscape

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5778))

Abstract

We propose a new IEC for musical works based on an adaptive walk on a fitness landscape of sounds. In this system, there is a virtual plane that represents the genetic space of possible musical works called fitness soundscape. The user stands on the soundscape, and hears the multiple sounds that correspond to one’s neighboring genotypes at the same time. These sounds come from different directions that correspond to the locations of their genotypes on the soundscape. By using the human abilities for localization and selective listening of sounds, the user can repeatedly walk toward the direction from which more favorite sounds come. This virtual environment can be realized by a home theater system with multiple speakers creating “surrounded sound”. We report on the basic concept of the system, a simple prototype for musical composition with several functional features for improvement of evolutionary search, and preliminary evaluations of the system.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Takagi, H.: Interactive Evolutionary Computation: Fusion of the Capabilities of EC Optimization and Human Evaluation. Proceedings of the IEEE 89(9), 1275–1296 (2001)

    Article  Google Scholar 

  2. Husband, P., Copley, P., Eldridge, A., Mandelis, J.: An Introduction to Evolutionary Computing for Musicians. In: Miranda, E.R., Biles, J.A. (eds.) Evolutionary Computer Music, pp. 1–27 (2007)

    Google Scholar 

  3. Unemi, T.: SBEAT3: A Tool for Multi-part Music Composition by Simulated Breeding. In: Proceedings of the Eighth International Conference on Artificial Life, pp. 410–413 (2002)

    Google Scholar 

  4. Dahlstedt, P.: Creating and Exploring Huge Parameter Spaces: Interactive Evolution as a Tool for Sound Generation. In: Proceedings of the International Computer Music Conference 2001, pp. 235–242 (2001)

    Google Scholar 

  5. Dawkins, R.: The Blind Watchmaker. Longman, Harlow (1986)

    Google Scholar 

  6. Biles, J.A.: GenJam: A Genetic Algorithms for Generating Jazz Solos. In: Proceedings of the 1994 International Computer Music Conference (1994)

    Google Scholar 

  7. Cherry, E.C.: Some Experiments on the Recognition of Speech with One and with Two Ears. Journal of the Acoustical Society of America 25, 975–979 (1953)

    Article  Google Scholar 

  8. Wright, S.: The Roles of Mutation, Inbreeding, Crossbreeding, and Selection in Evolution. In: Proceedings of the Sixth International Congress on Genetics, pp. 355–366 (1932)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Suzuki, R., Arita, T. (2011). Adaptive Walk on Fitness Soundscape. In: Kampis, G., Karsai, I., Szathmáry, E. (eds) Advances in Artificial Life. Darwin Meets von Neumann. ECAL 2009. Lecture Notes in Computer Science(), vol 5778. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21314-4_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21314-4_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21313-7

  • Online ISBN: 978-3-642-21314-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics