Indiana Undergraduate Journal of

نویسندگان

  • Michael T. Amlung
  • Sarah Coleman
  • Jordan DeLong
  • Melissa Troyer
  • Robert Goldstone
  • Rob Meyerson
چکیده

Artificial neural networks have been used to model many aspects of human-music interaction. Pitch perception, key identification, melody discrimination, and original composition are all tasks for which researchers have tried to use networks. For this project, however, I was most interested in the idea of using a neural network for harmonization. Since (good) harmonization is considered a difficult task for humans, I thought this task would prove challenging, but not impossible, for my networks. I decided to use Bach’s chorales for several reasons. I intended to use Bach because his music is traditional, somewhat predictable, and often used to train human music students to harmonize melodies. The idea was encouraged by Professor Erik Isaacson, at the music department of Indiana University. Some of the ideas presented in this paper are his, including that I use Bach’s chorales, specifically. Professor Isaacson added that Bach was prolific in his chorale composition, and that it would be easy to find chorales for input. Finally, I chose Bach because I like his music, and knew that I’d most likely be listening to (or at least looking at) a lot of it.

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تاریخ انتشار 2006