Skip to main content

Modeling a Synaesthete System to Generate a Tonal Melody from a Color Distribution

  • Conference paper
  • First Online:
Book cover International Joint Conference SOCO’18-CISIS’18-ICEUTE’18 (SOCO’18-CISIS’18-ICEUTE’18 2018)

Abstract

Synaesthesia is a neurological phenomenon in which stimulation of one sense triggers an involuntary experience in a secondary sense. This paper draws on this phenomenon to generate a system that creates music using colors as a synaesthete input. The system optimizes a function based on the Tonal Interval Space by applying the Particle Swarm Optimization algorithm to automatically generate a tonal melody. The final result is a musical line that is evaluated in terms of musical quality.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

References

  1. Agmon, E.: Functional harmony revisited: a prototype-theoretic approach. Music Theor. Spectr. 17(2), 196–214 (1995)

    Article  Google Scholar 

  2. Bernardes, G., Cocharro, D., Caetano, M., Guedes, C., Davies, M.E.: A multi-level tonal interval space for modelling pitch relatedness and musical consonance. J. New Music Res. 45(4), 281–294 (2016)

    Article  Google Scholar 

  3. Bernardes, G., Cocharro, D., Guedes, C., Davies, M.E.: Conchord: an application for generating musical harmony by navigating in a perceptually motivated tonal interval space. In: Proceedings of the 11th International Symposium on Computer Music Modeling and Retrieval (CMMR), pp. 71–86 (2015)

    Google Scholar 

  4. Casado-Vara, R., Corchado, J.M.: Blockchain for democratic voting: How blockchain could cast off voter fraud. Orient. J. Comp. Sci. Technol. 11(1) (2018)

    Article  Google Scholar 

  5. Chamoso, P., Prieta Pintado, F.d.l.: Swarm-based smart city platform: A traffic application (2015)

    Article  Google Scholar 

  6. Eigenfeldt, A., Thorogood, M., Bizzocchi, J., Pasquier, P.: Mediascape: towards a video, music, and sound metacreation. J. Sci. Technol. Arts 6(1), 61–73 (2014)

    Article  Google Scholar 

  7. Faia, R., Pinto, T., Abrishambaf, O., Fernandes, F., Vale, Z., Corchado, J.M.: Case based reasoning with expert system and swarm intelligence to determine energy reduction in buildings energy management. Energ. Build. 155, 269–281 (2017)

    Article  Google Scholar 

  8. Horn, B., Smith, G., Masri, R., Stone, J.: Visual information vases: towards a framework for transmedia creative inspiration. In: Proceedings of the Sixth International Conference on Computational Creativity, p. 182 (2015)

    Google Scholar 

  9. Jo, K., Nagano, N.: Monalisa: see the sound, hear the image. In: Proceedings of the 8th International Conference New Interface for Musical Expression, NIME, vol. 8, pp. 315–318 (2008)

    Google Scholar 

  10. Kennedy, J.: Particle swarm optimization. In: Encyclopedia of Machine Learning, pp. 760–766. Springer (2010)

    Google Scholar 

  11. Kruger, A.: Median-cut color quantization. Dr Dobb’s J. Softw. Tools Prof. Programmer 19(10), 46–55 (1994)

    Google Scholar 

  12. Krumhansl, C.L., Cuddy, L.L.: A theory of tonal hierarchies in music. In: Music perception, pp. 51–87. Springer (2010)

    Chapter  Google Scholar 

  13. Navarro, M., Caetano, M., Bernardes, G., de Castro, L.N., Corchado, J.M.: Automatic generation of chord progressions with an artificial immune system. In: Evolutionary and Biologically Inspired Music, Sound, Art and Design, pp. 175–186. Springer (2015)

    Google Scholar 

  14. Poli, R.: An analysis of publications on particle swarm optimization applications. Department of Computer Science, University of Essex, Essex, UK (2007)

    Google Scholar 

  15. Ranjan, A., Gabora, L., OConnor, B.: The cross-domain re-interpretation of artistic ideas. In: Proceedings 35th Annual Meeting of the Cognitive Science Society, pp. 3251–3256 (2013)

    Google Scholar 

  16. Sanz, J.C.: Lenguaje Del Color: Sinestesia cromática en poesía y arte visual. H. Blume (2009)

    Google Scholar 

  17. Scirea, M., Nelson, M., Cheong, Y.G., Bae, B.C.: Mood expression in real-time computer generated music using pure data (2014)

    Google Scholar 

  18. Sysoev, I., Chitloor, R.D., Rajaram, A., Summerlin, R.S., Davis, N., Walker, B.N.: Middie mercury: an ambient music generator for relaxation. In: Proceedings of the 8th Audio Mostly Conference, p. 20. ACM (2013)

    Google Scholar 

  19. Unemi, T., Matsui, Y., Bisig, D.: Identity sa 1.6: an artistic software that produces a deformed audiovisual reflection based on a visually interactive swarm. In: Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology, pp. 297–300. ACM (2008)

    Google Scholar 

  20. Wu, X., Li, Z.N.: A study of image-based music composition. In: 2008 IEEE International Conference on Multimedia and Expo, pp. 1345–1348. IEEE (2008)

    Google Scholar 

Download references

Acknowledgments

This work was supported by the Spanish Ministry, Ministerio de Economía y Competitividad and FEDER funds. Project. SURF: Intelligent System for integrated and sustainable management of urban fleets TIN2015-65515-C4-3-R.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to María Navarro-Cáceres .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Navarro-Cáceres, M., Martín-Gómez, L., Sittón-Candanedo, I., Rodríguez-González, S., Pérez-Lancho, B. (2019). Modeling a Synaesthete System to Generate a Tonal Melody from a Color Distribution. In: Graña, M., et al. International Joint Conference SOCO’18-CISIS’18-ICEUTE’18. SOCO’18-CISIS’18-ICEUTE’18 2018. Advances in Intelligent Systems and Computing, vol 771. Springer, Cham. https://doi.org/10.1007/978-3-319-94120-2_22

Download citation

Publish with us

Policies and ethics