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GENERIC: Musical Improvisation with Machine Learning and Generative Composition

Abstract

dc:description.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.

Degree

thesis:*
Grantor dc:publisher
Temple University. Libraries
Year dc:date.issued
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bailey, Sean
Advisor dc:contributor.advisor
  • Wright, Maurice, 1949-
Committee members dc:contributor.committeemember
  • Vidiksis, Adam, 1979-
  • Abramovic, Charles
  • Manzo, V. J.

Subjects

dc:subject × 10

Rights

dc:rights
Statement dc:rights
  • IN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Repository record dc:identifier.uri
https://scholarshare.temple.edu/handle/20.500.12613/11322
OAI identifier oai:identifier
oai:scholarshare.temple.edu:20.500.12613/11322

Chain of custody

source
Harvested from
Temple University
Base URL
scholarshare.temple.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Bailey, Sean. GENERIC: Musical Improvisation with Machine Learning and Generative Composition. Temple University. Libraries, 2025. https://scholarshare.temple.edu/handle/20.500.12613/11322