Abstract
In the field of computational creativity, the area of automatic music generation deals with techniques that are able to automatically compose human-enjoyable music. Although investigations in the area started recently, numerous techniques based on artificial intelligence have been proposed. Some of them produce pleasant results, but none is able to effectively evolve the style of the musical pieces generated.
In this paper, we fill this gap by proposing an evolutionary memetic system that composes melodies, exploiting a society of virtual composers. An extensive validation, performed by using both quantitative and qualitative analyses, confirms that the system is able to evolve its compositional style over time.
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Notes
- 1.
One of the pairs of melodies is available at http://goo.gl/9nHVKl.
References
Fernández, J.D., Vico, F.J.: AI methods in algorithmic composition: a comprehensive survey. J. Artif. Intell. Res. (JAIR) 48, 513–582 (2013)
Pachet, F.: Rhythms as emerging structures. In: Proceedings of 2000 International Computer Music Conference, Berlin, ICMA (2000)
Gimenes, M., Miranda, E.R., Johnson, C.: A memetic approach to the evolution of rhythms in a society of software agents. In: Proceedings of the 10th Brazilian Symposium on Computer Music (SBCM), vol. 16 (2005)
Miranda, E.R.: On the evolution of music in a society of self-taught digital creatures. Digit. Creativity 14(1), 29–42 (2003)
Velardo, V., Vallati, M.: Automatic melody composition and evolution: a cognitive-based approach. In: Proceedings of the Conference on Interdisciplinary Musicology (CIM) (2014)
Boden, M.A.: The Creative Mind: Myths and Mechanisms. Psychology Press, New York (2004)
Dawkins, R.: The Selfish Gene. Oxford University Press, Oxford (1976)
Graham, G.: Genes: A Philosophical Inquiry. Psychology Press, New York (2002)
Dennett, D.C., Mittwoch, U.: Darwin’s dangerous idea: evolution and the meanings of life. Ann. Hum. Genet. 60(3), 267–267 (1996)
Jan, S.B.: The Memetics of Music: A Neo-Darwinian View of Musical Structure and Culture. Ashgate, Aldershot (2007)
Miller, G.A.: The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol. Rev. 63, 81 (1956)
Jan, S.: Music, memory, and memes in the light of calvinian neuroscience. Music Theor. Online 17(2), 3–50 (2011)
Brown, S., Jordania, J.: Universals in the world’s musics. Psychol. Music 41, 229–248 (2013)
Fabbri, F.: Browsing music spaces: categories and the musical mind. In: Proceedings of the IASPM Conference (1999)
Meyer, L.B.: Style and Music: Theory, History, and Ideology. University of Chicago Press, Chicago (1989)
Cope, D.: Computers and Musical Style. Oxford University Press, Oxford (1991)
Dannenberg, R.B., Thom, B., Watson, D.: A machine learning approach to musical style recognition. In: Proceedings of the ICMC (1997)
Lartillot, O., Dubnov, S., Assayag, G., Bejerano, G.: Automatic modeling of musical style. In: Proceedings of the 2001 International Computer Music Conference, pp. 447–454 (2001)
Hontanilla, M., Pérez-Sancho, C., Iñesta, J.M.: Modeling musical style with language models for composer recognition. In: Sanches, J.M., Micó, L., Cardoso, J.S. (eds.) IbPRIA 2013. LNCS, vol. 7887, pp. 740–748. Springer, Heidelberg (2013)
de León, P.J.P., Iñesta, J.M.: Musical style classification from symbolic data: a two-styles case study. In: Wiil, U.K. (ed.) CMMR 2003. LNCS, vol. 2771, pp. 167–178. Springer, Heidelberg (2004)
Fleiss, J.L.: Measuring nominal scale agreement among many raters. Psychol. Bull. 76(5), 378 (1971)
Landis, J.R., Koch, G.G.: The measurement of observer agreement for categorical data. Biometrics 33, 159–174 (1977)
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Velardo, V., Vallati, M. (2015). On the Stylistic Evolution of a Society of Virtual Melody Composers. In: Johnson, C., Carballal, A., Correia, J. (eds) Evolutionary and Biologically Inspired Music, Sound, Art and Design. EvoMUSART 2015. Lecture Notes in Computer Science(), vol 9027. Springer, Cham. https://doi.org/10.1007/978-3-319-16498-4_22
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