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http://dx.doi.org/10.9728/dcs.2016.17.6.449

Adoption of Artificial Neural Network for Rest, Enhanced Postprocessing of Beats, and Initial Melody Processing for Automatic Composition System  

Kim, Kyunghwan (Electronics and Information Engineering)
Jung, Sung Hoon (Hansung University)
Publication Information
Journal of Digital Contents Society / v.17, no.6, 2016 , pp. 449-459 More about this Journal
Abstract
This paper proposes a new method to improve the three problems of existing automatic composition method using artificial neural networks. The first problem is that the existing beat post-processing to fit into music theories could not handle all the cases of occurring. The second one is that the pitch space generated by artificial neural networks is distorted because the rest is trained with the pitch on the same neural network with large values. The last problem is caused by the difference between the initial melody and beats given by user and those generated by an artificial neural network in the process of new composition. In order to treat these problems, we propose an enhanced post-processing of beats, initial melody processing, and adoption of artificial neural network for rest. It was found from experiments that the proposed methods totally resolved the three problems.
Keywords
Automatic Composition; Artificial Neural Networks; Beat Postprocessing; Initial Melody Postprocessing;
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Times Cited By KSCI : 3  (Citation Analysis)
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