Towards a Relative-Pitch Neural Network System for Chorale Composition and Harmonization

Towards a Relative-Pitch Neural Network System for Chorale Composition and Harmonization

Bibliographic Details
Main Author: Goree, Samuel P.
Language:English
Published: Oberlin College Honors Theses / OhioLINK 2017
Subjects:
Computer Science
Machine learning
Computational Creativity
Chorale Harmonization
Neural Networks
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=oberlin1495578351469519
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-oberlin14955783514695192021-08-03T07:02:43Z Towards a Relative-Pitch Neural Network System for Chorale Composition and Harmonization Goree, Samuel P. Computer Science Machine learning Computational Creativity Chorale Harmonization Neural Networks Computational creativity researchers interested in applying machine learning to computer composition often use the music of J.S. Bach to train their systems. Working with Bach, though, requires grappling with the conventions of tonal music, which can be difficult for computer systems to learn. In this paper, we propose and implement an alternate approach to composition and harmonization of chorales based on pitch-relative note encodings to avoid tonality altogether. We then evaluate our approach using a survey and expert analysis, and find that pitch-relative encodings do not significantly affect human-comparability, likability or creativity. However, an extension of this model that better addresses the criteria survey participants used to evaluate the music, such as instrument timbre and harmonic dissonance, still shows promise. 2017-07-26 English text Oberlin College Honors Theses / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=oberlin1495578351469519 http://rave.ohiolink.edu/etdc/view?acc_num=oberlin1495578351469519 unrestricted This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center.
collection NDLTD
language English
sources NDLTD
topic Computer Science
Machine learning
Computational Creativity
Chorale Harmonization
Neural Networks
spellingShingle Computer Science
Machine learning
Computational Creativity
Chorale Harmonization
Neural Networks
Goree, Samuel P.
Towards a Relative-Pitch Neural Network System for Chorale Composition and Harmonization
author Goree, Samuel P.
author_facet Goree, Samuel P.
author_sort Goree, Samuel P.
title Towards a Relative-Pitch Neural Network System for Chorale Composition and Harmonization
title_short Towards a Relative-Pitch Neural Network System for Chorale Composition and Harmonization
title_full Towards a Relative-Pitch Neural Network System for Chorale Composition and Harmonization
title_fullStr Towards a Relative-Pitch Neural Network System for Chorale Composition and Harmonization
title_full_unstemmed Towards a Relative-Pitch Neural Network System for Chorale Composition and Harmonization
title_sort towards a relative-pitch neural network system for chorale composition and harmonization
publisher Oberlin College Honors Theses / OhioLINK
publishDate 2017
url http://rave.ohiolink.edu/etdc/view?acc_num=oberlin1495578351469519
work_keys_str_mv AT goreesamuelp towardsarelativepitchneuralnetworksystemforchoralecompositionandharmonization
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