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Title: Agent-based graphic sound synthesis and acousmatic composition
Author: Pearse, Stephen
ISNI:       0000 0004 5991 6697
Awarding Body: University of Sheffield
Current Institution: University of Sheffield
Date of Award: 2016
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For almost a century composers and engineers have been attempting to create systems that allow drawings and imagery to behave as intuitive and efficient musical scores. Despite the intuitive interactions that these systems afford, they are somewhat underutilised by contemporary composers. The research presented here explores the concept of agency and artificial ecosystems as a means of creating and exploring new graphic sound synthesis algorithms. These algorithms are subsequently designed to investigate the creation of organic musical gesture and texture using granular synthesis. The output of this investigation consists of an original software artefact, The Agent Tool, alongside a suite of acousmatic musical works which the former was designed to facilitate. When designing new musical systems for creative exploration with vast parametric controls, careful constraints should be put in place to encourage focused development. In this instance, an evolutionary computing model is utilised as part of an iterative development cycle. Each iteration of the system’s development coincides with a composition presented in this portfolio. The features developed as part of this process subsequently serve the author’s compositional practice and inspiration. As the software package is designed to be flexible and open ended, each composition represents a refinement of features and controls for the creation of musical gesture and texture. This document subsequently discusses the creative inspirations behind each composition alongside the features and agents that were created. This research is contextualised through a review of established literature on graphic sound synthesis, evolutionary musical computing and ecosystemic approaches to sound synthesis and control.
Supervisor: Moore, Adrian Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available