Skip to main content

Elevated Pitch: Automated Grammatical Evolution of Short Compositions

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 5484)

Abstract

A system for automatic composition using grammatical evolution is presented. Music is created under the constraints of a generative grammar, and under the bias of an automatic fitness function and evolutionary selection. This combination of two methods is seen to be powerful and flexible. Human evaluation of automatically-evolved pieces shows that a more sophisticated grammar in combination with a naive fitness function gives better results than the reverse.

Keywords

  • Grammatical evolution
  • music
  • automatic composition

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-642-01129-0_65
  • Chapter length: 6 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   149.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-01129-0
  • 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   189.00
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. O’Neill, M., Ryan, C.: Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language. Kluwer Academic Publishers, Dordrecht (2003)

    CrossRef  MATH  Google Scholar 

  2. McCormack, J.: Open problems in evolutionary music and art. In: Rothlauf, F., et al. (eds.) EvoWorkshops 2005. LNCS, vol. 3449, pp. 428–436. Springer, Heidelberg (2005)

    CrossRef  Google Scholar 

  3. Bentley, P.J.: Exploring component-based representations - the secret of creativity by evolution? In: Parmee, I.C. (ed.) Proceedings of ACDM 2000, University of Plymouth, pp. 161–172 (2000)

    Google Scholar 

  4. Dahlstedt, P.: Autonomous evolution of complete piano pieces and performances. In: Proceedings of Music AL Workshop (2007)

    Google Scholar 

  5. Nelson, G.L.: Sonomorphs: An application of genetic algorithms to the growth and development of musical organisms (1993), http://timara.con.oberlin.edu/~gnelson/gnelson.htm

  6. Eno, B.: A Year with Swollen Appendices. Faber and Faber (1996)

    Google Scholar 

  7. Lerdahl, F., Jackendoff, R.: A Generative Theory of Tonal Music. MIT Press, Cambridge (1983)

    Google Scholar 

  8. Kippen, J., Bel, B.: Modelling music with grammars: Formal language representation in the BOL processor. In: Pople, A.M.A. (ed.) Computer Representations and Models in Music, pp. 207–238. Academic Press, London (1992)

    Google Scholar 

  9. Marsden, A.: Generative structural representation of tonal music. Journal of New Music Research 34(4), 409–428 (2005)

    CrossRef  Google Scholar 

  10. de la Puente, A.O., Alfonso, R.S., Moreno, M.A.: Automatic composition of music by means of grammatical evolution. In: Proceedings of APL 2002, Madrid (2002)

    Google Scholar 

  11. Towsey, M., Brown, A., Wright, S., Diederich, J.: Towards melodic extension using genetic algorithms. Educational Technology & Society 4(2) (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Reddin, J., McDermott, J., O’Neill, M. (2009). Elevated Pitch: Automated Grammatical Evolution of Short Compositions. In: , et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_65

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-01129-0_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01128-3

  • Online ISBN: 978-3-642-01129-0

  • eBook Packages: Computer ScienceComputer Science (R0)