ScholarWorksIndianapolis
  • Communities & Collections
  • Browse ScholarWorks
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    or
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Subject

Browsing by Subject "Music Composition"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    ML.* MACHINE LEARNING LIBRARY AS A MUSICAL PARTNER IN THE COMPUTER-ACOUSTIC COMPOSITION FLIGHT
    (Michigan Publishing, 2014-09) Smith, Benjamin D.; Deal, W. Scott
    This paper presents an application and extension of the ml.* library, implementing machine learning (ML) models to facilitate “creative” interactions between musician and machine. The objective behind the work is to effectuate a musical “virtual partner” capable of creation in a range of musical scenarios that encompass composition, improvisation, studio, and live concert performance. An overview of the piece, Flights, used to test the musical range of the application is given, followed by a description of the development rationale for the project. Its contribution to the aesthetic quality of the human musical process is discussed.
About IU Indianapolis ScholarWorks
  • Accessibility
  • Privacy Notice
  • Copyright © 2025 The Trustees of Indiana University