Generation of Variations on Theme Music Based on Impressions of Story Scenes Considering Human's Feeling of Music and Stories

This paper describes a system which generates variations on theme music fitting to story scenes represented by texts and/or pictures. Inputs to the present system are original theme music and numerical information on given story scenes. The present system varies melodies, tempos, tones, tonalities,...

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Main Authors: Kenkichi Ishizuka, Takehisa Onisawa
Format: Article
Language:English
Published: Wiley 2008-01-01
Series:International Journal of Computer Games Technology
Online Access:http://dx.doi.org/10.1155/2008/281959
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author Kenkichi Ishizuka
Takehisa Onisawa
author_facet Kenkichi Ishizuka
Takehisa Onisawa
author_sort Kenkichi Ishizuka
collection DOAJ
description This paper describes a system which generates variations on theme music fitting to story scenes represented by texts and/or pictures. Inputs to the present system are original theme music and numerical information on given story scenes. The present system varies melodies, tempos, tones, tonalities, and accompaniments of given theme music based on impressions of story scenes. Genetic algorithms (GAs) using modular neural network (MNN) models as fitness functions are applied to music generation in order to reflect user's feeling of music and stories. The present system adjusts MNN models for each user on line. This paper also describes the evaluation experiments to confirm whether the generated variations on theme music reflect impressions of story scenes appropriately or not.
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institution Kabale University
issn 1687-7047
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language English
publishDate 2008-01-01
publisher Wiley
record_format Article
series International Journal of Computer Games Technology
spelling doaj-art-00e3b9bb3d9a45cf9b270456e3c1bab92025-02-03T01:25:36ZengWileyInternational Journal of Computer Games Technology1687-70471687-70552008-01-01200810.1155/2008/281959281959Generation of Variations on Theme Music Based on Impressions of Story Scenes Considering Human's Feeling of Music and StoriesKenkichi Ishizuka0Takehisa Onisawa1Graduate School of Systems and Information Engineering, University of Tsukuba, Tennodai 1-1-1, Tsukuba 305-8573, JapanGraduate School of Systems and Information Engineering, University of Tsukuba, Tennodai 1-1-1, Tsukuba 305-8573, JapanThis paper describes a system which generates variations on theme music fitting to story scenes represented by texts and/or pictures. Inputs to the present system are original theme music and numerical information on given story scenes. The present system varies melodies, tempos, tones, tonalities, and accompaniments of given theme music based on impressions of story scenes. Genetic algorithms (GAs) using modular neural network (MNN) models as fitness functions are applied to music generation in order to reflect user's feeling of music and stories. The present system adjusts MNN models for each user on line. This paper also describes the evaluation experiments to confirm whether the generated variations on theme music reflect impressions of story scenes appropriately or not.http://dx.doi.org/10.1155/2008/281959
spellingShingle Kenkichi Ishizuka
Takehisa Onisawa
Generation of Variations on Theme Music Based on Impressions of Story Scenes Considering Human's Feeling of Music and Stories
International Journal of Computer Games Technology
title Generation of Variations on Theme Music Based on Impressions of Story Scenes Considering Human's Feeling of Music and Stories
title_full Generation of Variations on Theme Music Based on Impressions of Story Scenes Considering Human's Feeling of Music and Stories
title_fullStr Generation of Variations on Theme Music Based on Impressions of Story Scenes Considering Human's Feeling of Music and Stories
title_full_unstemmed Generation of Variations on Theme Music Based on Impressions of Story Scenes Considering Human's Feeling of Music and Stories
title_short Generation of Variations on Theme Music Based on Impressions of Story Scenes Considering Human's Feeling of Music and Stories
title_sort generation of variations on theme music based on impressions of story scenes considering human s feeling of music and stories
url http://dx.doi.org/10.1155/2008/281959
work_keys_str_mv AT kenkichiishizuka generationofvariationsonthememusicbasedonimpressionsofstoryscenesconsideringhumansfeelingofmusicandstories
AT takehisaonisawa generationofvariationsonthememusicbasedonimpressionsofstoryscenesconsideringhumansfeelingofmusicandstories