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Towards Complexity Studies of Indonesian Songs

Situngkir, Hokky (2007) Towards Complexity Studies of Indonesian Songs. [Departmental Technical Report]

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Abstract

We see some complex properties from Indonesian music discography by means of music as perceived by Indonesian people. This covers the folk songs, national anthems, popular songs by Indonesian modern artists and performers and also from western popular and classical music as reference. The self-similarity is drawn by using the model of gyration and the internal dynamics of the pitches and durations used in songs is observed by using the logarithmic spiral model. The employed entropy model is also discussed as well as introduction to the calculated dynamic complexity of melodic structure. Some generalization on the flow of music respect to the dynamic complexity is also shown. We discover that at least there are two phases in the played song: the shorter introductory phase that ends in the peak of complexity of the song and the attenuating phase of complexity in which the multiple equilibria of the song is measured. The paper draws some interesting aspects regarding to those parameters and variables on Indonesian melodic corpora.

Item Type:Departmental Technical Report
Keywords:music, self-similarity, spiraling effect in music, melodic entropy, complexity
Subjects:Computer Science > Statistical Models
Computer Science > Language
Computer Science > Dynamical Systems
Computer Science > Complexity Theory
Biology > Sociobiology
Philosophy > Philosophy of Mind
Psychology > Perceptual Cognitive Psychology
Psychology > Applied Cognitive Psychology
ID Code:5670
Deposited By:Situngkir, Mr Hokky
Deposited On:20 Aug 2007
Last Modified:11 Mar 2011 08:56

References in Article

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Cope, D. (1998). “Signatures and earmarks: Computer recognition of patterns in music”. In W. B. Hewlett & E. Selfridge-Field (Eds.). Melodic similarity: Concepts, procedures, and applications (pp. 129–138). MIT Press.

Fiske, J. (1990). Cultural and Communication Studies 2nd edition. Routledge.

Freeman, L. C. and Merriam, A. P. (1956). “Statistical classification in anthropology: An application to ethnomusicology”. American Anthropologist 58: 464-472.

Gündüuz, G. & Gündüz, U. (2005). “The Mathematical Analysis of the Structure of Some Songs”. Physica A 357: 565-92.

Peitgen, H-O., Jürgens, H., & Saupe, D. (2004). Chaos and Fractals: New Frontiers of Science 2nd edition. Springer.

Planes, A. & VIves, E. (2002). “Entropic Formulation of Statistical Mechanics”. Journal of Statistical Physics 106: 827-50.

Selfridge-Field, E. (1998). "Conceptual and representational issues in melodic comparison". In Hewlett,W.B. & Selfridge-Field, E. (eds.), Melodic Similarity: Concepts, Procedures, and Applications. MIT Press.

Lambiotte, R. & Ausloos, M. (2006). “On the Genre-Fication of Music: a Percolation Approach”. The European Physical Journal B 50: 183-8.

Situngkir, H. & Surya, Y. (2003). “Neural Network Revisited: Perception on Modified Poincare Map of Financial Time-Series Data”. Physica A 344: 100-3.

Situngkir, H. (2007). "An Alternative Postulate to See Melody as 'Language'". BFI Working Paper Series WPK2007.

Snyder, J. L. (1990). "Entropy as a Measure of Musical Style: The Influence of a priori Assumptions". Music Theory Spectrum 12: 121-60.

Steedman, M. (1996). “The Blues and the Abstract Truth: Music and Mental Models”. In A. Garnham and J. Oakhill, (eds.), Mental Models In Cognitive Science pp.305-18. Erlbaum.

Toivianen, P. & Eerola, T. (2001). "A Method for Comparative Analysis of Folk Music Based on Musical Feature Extraction and Neural Networks". Proceedings of the VII International Symposium on Systematic and Comparative Musicology and III International Conference on Cognitive Musicology. ICSCM.

Tricott, C. (1995). Curves and Fractal Dimension. Springer-Verlag.

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