Abstract
This paper describes a research work in which we study the possibility of applying genetic algorithms to the extraction of musical patterns in monophonic musical pieces. Each individual in the population represents a possible segmentation of the piece being analysed. The goal is to find a segmentation that allows the identification of the most significant patterns of the piece. In order to calculate an individual’s fitness, all its segments are compared among each other. The bigger the area occupied by similar segments the better the quality of the segmentation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Rolland, P.Y., Ganascia, J.G.: Musical Pattern Extraction and Similarity Assessment. In: Miranda, E.M. (ed.) Readings in Music and Artificial Intelligence, pp. 115–144. Harwood Academic (2000)
Rolland, P.Y.: Discovering Patterns in Musical Sequences. Journal of New Music Research 28(4), 334–350 (1999)
Cambouropoulos, E.:Towards a General Computational Theory of Musical Structure. PhD Thesis, University of Edinburgh (1998)
Meredith, D., Wiggins, G.A., Lemström, K.: Pattern Induction and Matching in Polyphonic Music and Other Multi-dimensional Datasets. In: Proceedings of the 5th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI2001), vol. X, pp. 61–66 (2001)
Mitchell, M.: An Introduction to Genetic Algorithms. MIT Press, Cambridge (1996)
Pereira, F.: Estudo das Interações entre Evolução e Aprendizagem em Ambientes de Computação Evolucionária. PhD Thesis, Universidade de Coimbra (2002)
Stephen, G.: String Search. Technical Report, School of Electronic Engineering Science, University College of North Wales (1992)
Ruwet, N.: Langage, Musique, Poésie. Editions du Seuil, Paris (1972)
Perttu, S.: Combinatorial Pattern Matching in Musical Sequences. Master’s Thesis, University of Helsinki, Series of Publications, C-2000-38 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Grilo, C., Cardoso, A. (2004). Musical Pattern Extraction Using Genetic Algorithms. In: Wiil, U.K. (eds) Computer Music Modeling and Retrieval. CMMR 2003. Lecture Notes in Computer Science, vol 2771. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39900-1_12
Download citation
DOI: https://doi.org/10.1007/978-3-540-39900-1_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20922-5
Online ISBN: 978-3-540-39900-1
eBook Packages: Springer Book Archive