IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound
Document Type
Poster
Publication Date
Fall 2018
Abstract
Computers are well suited to tasks such as data categorization and labeling. More challenging is data “generation”, a problem in which recurrent neural networks (RNNs) and more specifically long short-term memory networks (LSTMs) have made significant progress in the past few years. In this project, I train an RNN on a database of classical sheet music, and use it to generate new sheet music.
Recommended Citation
Colbert-Pollack, Seth, "RNN monophonic sheet music generation with LilyPond" (2018). IPHS 300: Artificial Intelligence for the Humanities: Text, Image, and Sound. Paper 2.
https://digital.kenyon.edu/dh_iphs_ai/2
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