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

Kenkichi Ishizuka | Zendy; Takehisa Onisawa | Zendy

Open Access

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

Author(s) -

Kenkichi Ishizuka,

Takehisa Onisawa

Publication year - 2007

Publication title -

international journal of computer games technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.248

H-Index - 19

eISSN - 1687-7055

pISSN - 1687-7047

DOI - 10.1155/2008/281959

Subject(s) - melody , theme (computing) , feeling , computer science , popular music , modular neural network , art , visual arts , artificial intelligence , musical , artificial neural network , psychology , world wide web , social psychology , time delay neural network

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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