Eco-structure data forms : classification of data analysis using perceived design affordances for musical outcomes

Opie, Timothy T. & Brown, Andrew R. (2009) Eco-structure data forms : classification of data analysis using perceived design affordances for musical outcomes. In Sorensen, Andrew C. (Ed.) Improvisation: Australasian Computer Music Conference, Australasian Computer Music Association (ACMA), Brisbane, pp. 123-129.

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This paper explores a method of comparative analysis and classification of data through perceived design affordances. Included is discussion about the musical potential of data forms that are derived through eco-structural analysis of musical features inherent in audio recordings of natural sounds. A system of classification of these forms is proposed based on their structural contours. The classifications include four primitive types; steady, iterative, unstable and impulse. The classification extends previous taxonomies used to describe the gestural morphology of sound. The methods presented are used to provide compositional support for eco-structuralism.

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ID Code: 29989
Item Type: Conference Paper
Refereed: Yes
Keywords: ecostructuralism, generative music, algorithmic music, composition, computer music
ISSN: 1448-7780
Subjects: Australian and New Zealand Standard Research Classification > STUDIES IN CREATIVE ARTS AND WRITING (190000) > PERFORMING ARTS AND CREATIVE WRITING (190400) > Music Composition (190406)
Divisions: Past > Research Centres > Australasian CRC for Interaction Design (ACID)
Current > QUT Faculties and Divisions > Creative Industries Faculty
Copyright Owner: Copyright 2009 the authors.
Deposited On: 25 Jan 2010 04:58
Last Modified: 21 Jun 2017 14:43

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