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Genre
Thesis/Dissertation
Date
2025-08
Advisor
Wright, Maurice, 1949-
Committee member
Vidiksis, Adam, 1979-
Abramovic, Charles
Manzo, V. J.
Abramovic, Charles
Manzo, V. J.
Group
Department
Music Composition
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DOI
https://doi.org/10.34944/a9gw-mn64
Abstract
Both investigative and creative in nature, GENERIC explores the nexus of carbon and silicon intelligence—evaluating and testing directions for the application of artificial intelligence (AI) techniques in the field of musical creativity. This task is first approached through an examination of selected existing musical works involving humans and AI systems, beginning near the advent of the digital computer and progressing through contemporary works. The project culminated in the creation of an eponymous musical suite for clarinet and electronics, in which a musical work was composed simultaneously for concert presentation and for the distinct purpose of training a machine learning system to generate a musical response—positioning an AI system as both a creative partner and a source of computerized musical improvisation. The compositional features, electronics design, and sound synthesis techniques employed throughout GENERIC are examined in detail, and the conceptual implications surrounding musical composition involving an AI system are contextualized against current and historical ideologies.
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Accompanied by 1 .pdf file: 1) Bailey_temple_0225E_171/GENERIC Transposing Perusal Score.pdf
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