Repository logo
Log In

University Digital Conservancy

University Digital Conservancy

Communities & Collections
Browse
About
AboutHow to depositPolicies
Contact

Browse by Subject

  1. Home
  2. Browse by Subject

Browsing by Subject "Algorithmic Composition"

Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Item
    The Amazing Composobot: Music Information Retrieval and Algorithmic Composition
    (2019-03) Walker, Marcus
    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.

UDC Services

  • About
  • How to Deposit
  • Policies
  • Contact

Related Services

  • University Archives
  • U of M Web Archive
  • UMedia Archive
  • Copyright Services
  • Digital Library Services

Libraries

  • Hours
  • News & Events
  • Staff Directory
  • Subject Librarians
  • Vision, Mission, & Goals
University Libraries

© 2025 Regents of the University of Minnesota. All rights reserved. The University of Minnesota is an equal opportunity educator and employer.
Policy statement | Acceptable Use of IT Resources | Report web accessibility issues