University of Illinois Urbana-Champaign

Music Generation Using Genetic Algorithms And Its Applications In Real-time Interactive Computer Music Performance

Chiu, Ming-Ching

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https://hdl.handle.net/2142/74819

Description

Title
Music Generation Using Genetic Algorithms And Its Applications In Real-time Interactive Computer Music Performance
Author(s)
Chiu, Ming-Ching
Issue Date
2014-04
Doctoral Committee Chair(s)
Associate Professor Stephen A. Taylor
Committee Member(s)
  • Tipei, Sever
  • Lund, Erik
  • Doctor Philip Yampolsky
Department of Study
School of Music
Discipline
Music
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
A.Mus.D. (doctoral)
Keyword(s)
  • music
  • generation
  • genetic
  • algorithms
  • computer
  • performance
  • interactive
Language
en
Abstract
Computer-assisted algorithmic music composition has achieved great success in the past few decades. Composing this kind of music makes the composers think about music in a new way. Research on applying artificial intelligence (AI) methods in music generation emerged almost as early as the beginning of AI. What makes Music AI unique is that it “has involved a degree of complexity which is not the complexity of mathematical formulae, nor the complexity of large quantities of data, but rather a kind of complexity of ideas.” This project tries to partially answer the question whether it is possible to write a computer program which composes music like a human. Genetic algorithms (GA), one type of artificial intelligence, is the main tool used as the music generation engine in this project. The background of artificial intelligence and genetic algorithms is discussed in the first several chapters, including a brief historical review and related works, followed by the code implementation of Departure-core, the GA of this project.
Type of Resource
text
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http://hdl.handle.net/2142/74819

Owning Collections

Doctoral Project Theses [Option 2] - Music PRIMARY