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.
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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|Item Type:||Conference Paper|
|Keywords:||ecostructuralism, generative music, algorithmic music, composition, computer music|
|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:||Current > Research Centres > Australasian CRC for Interaction Design (ACID)
Current > QUT Faculties and Divisions > Creative Industries Faculty
Current > Schools > Music & Sound
|Copyright Owner:||Copyright 2009 the authors.|
|Deposited On:||25 Jan 2010 04:58|
|Last Modified:||29 Feb 2012 14:09|
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