Skip to main content
SpringerLink
Log in

Layered Genetical Algorithms Evolving into Musical Accompaniment Generation

  • Conference paper
Book cover Applications of Evolutionary Computing (EvoWorkshops 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3907))

Included in the following conference series:

Abstract

We present a theoretical evolutionary musical accompaniment generating system capable of evolving to different organized sounds according to an external performer. We present a new approach for implementing the fitness functions.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Dannenberg, R.: An on-line algorithm for real-time accompaniment. In: Proceedings of the International Computer Music Conference (1984)

    Google Scholar 

  2. Raphael, C.: Orchestra in a box: A system for real-time musical accompaniment. In: IJCAI (2003)

    Google Scholar 

  3. Bryson, J.: The reactive accompanist: Adaptation and behavior decomposition in a music system. The Biology and Tech. of Intelligent Autonomous Agents (1994)

    Google Scholar 

  4. Papadopoulos, G., Waggins, G.: AI methods for algorithmic composition: A survey, a critical view and future prosp. In: Symposium on AI and Scientific Creativity (1999)

    Google Scholar 

  5. Wiggins, G., Papadopoulos, G., Phon-Amnuaisuk, S., Tuson, A.: Evolutionary methods for musical composition. I. Journal of Comp. Anticipatory Systems (1999)

    Google Scholar 

  6. De Felice, F., Abbattista, F., Slagliola, F.: Genorchestra: An interactive evolutionary agent for musical composition. Generative Art and Design Conference (2002)

    Google Scholar 

  7. Biles, J.: Autonomous GenJam: Eliminating the fitness bottleneck by eliminating fitness. In: Genetic and Evolutionary Computation Conference (2001)

    Google Scholar 

  8. Phon-Amnuaisuk, S., Tuson, A., Wiggins, G.: Evolving musical harmonization. In: ICANNGA (1999)

    Google Scholar 

  9. Moroni, A., Manzolli, J., Von Zuben, F.: Evolution and ARTbitration. In: Procedings of the International Conference on Computer Graphics and Artificial Inteligence, Limoges, Frana, pp. 141–146 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Research Center “Renato Archer”, Campinas, São Paulo, Brazil

    Ribamar Santarosa & Artemis Moroni

  2. Interdisciplinary Nucleus of Sound Communication, State University of Campinas, Campinas, São Paulo, Brazil

    Ribamar Santarosa, Artemis Moroni & Jônatas Manzolli

Authors
  1. Ribamar Santarosa
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Artemis Moroni
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jônatas Manzolli
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Johannes Gutenberg University, Mainz, Germany

    Franz Rothlauf

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

    Jürgen Branke

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

    Stefano Cagnoni

  4. Centre of Informatics and Systems of the University of Coimbra,  

    Ernesto Costa

  5. Dept. LCC, Universidad de Málaga, Spain

    Carlos Cotta

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

    Rolf Drechsler

  7. INRIA Saclay - Ile-de-France, Parc Orsay Université, 4, rue Jacques Monod, 91893, ORSAY Cedex, France

    Evelyne Lutton

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

    Penousal Machado

  9. Dartmouth College, Lebanon, NH, USA

    Jason H. Moore

  10. Universidade de A Coruña, CP 15071, A Coruña, Spain

    Juan Romero

  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

  13. Kyushu University, Japan

    Hideyuki Takagi

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Santarosa, R., Moroni, A., Manzolli, J. (2006). Layered Genetical Algorithms Evolving into Musical Accompaniment Generation. In: Rothlauf, F., et al. Applications of Evolutionary Computing. EvoWorkshops 2006. Lecture Notes in Computer Science, vol 3907. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11732242_70

Download citation

  • DOI: https://doi.org/10.1007/11732242_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33237-4

  • Online ISBN: 978-3-540-33238-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation