The Amazing Composobot: Music Information Retrieval and Algorithmic Composition
2019-03
Loading...
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
The Amazing Composobot: Music Information Retrieval and Algorithmic Composition
Authors
Published Date
2019-03
Publisher
Type
Thesis or Dissertation
Abstract
Music has powerful and inscrutable effects on the human mind, and we are far from fully understanding how that magic works. But music is not random: there are patterns in the sounds and rhythms of a piece that can be analyzed, things that can be learned! In this work I will review relevant research on the subject of Music Information Retrieval and then introduce Composobot, an original program that incorporates and extends the lessons of that research. Together we will examine how Composobot prepares musical pieces for processing, analyzes them to extract systems of patterns and dependencies, and then composes novel musical pieces based on what it has learned. Finally, we will discuss how much of the magic that is in the music we love can be captured by learning patterns the way Composobot does, and how those methods might be tweaked to capture an even greater share of it.
Description
University of Minnesota M.S. thesis. Marcus 2019. Major: Mathematics. Advisor: Marshall Hampton. 1 computer file (PDF); vi, 94 pages + 2 supplementary files.
Related to
Replaces
License
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Suggested citation
Walker, Marcus. (2019). The Amazing Composobot: Music Information Retrieval and Algorithmic Composition. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/208967.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.