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http://dx.doi.org/10.9728/dcs.2017.18.4.641

Automatic Generation of a Configured Song with Hierarchical Artificial Neural Networks  

Kim, Kyung-Hwan (Department of Electronics and Information Engineering, Hansung University)
Jung, Sung Hoon (School of Mechanical and Electronic Engineering, Hansung University)
Publication Information
Journal of Digital Contents Society / v.18, no.4, 2017 , pp. 641-647 More about this Journal
Abstract
In this paper, we propose a method to automatically generate a configured song with melodies composed of front/middle/last parts by using hierarchical artificial neural networks in automatic composition. In the first layer, an artificial neural network is used to learn an existing song or a random melody and outputs a song after performing rhythm post-processing. In the second layer, the melody created by the artificial neural network in the first layer is learned by three artificial neural networks of front/middle/last parts in the second layer in order to make a configured song. In the artificial neural network of the second layer, we applied a method to generate repeatability using measure identity in order to make song with repeatability and after that the song is completed after rhythm, chord, tonality post-processing. It was confirmed from experiments that our proposed method produced configured songs well.
Keywords
Automatic Composition; Hierarchical Artificial Neural Networks; Configured Song;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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15 A Configured Song Composed by Hierarchical Artificial Neural Networks, download from the URL http://itsys.hansung.ac.kr/downloads/KissTheRain_20170609.mp4
16 A Configured Song Composed by Hierarchical Artificial Neural Networks, download from the URL http://itsys.hansung.ac.kr/downloads/ThisisWhatItFeelslike_20170609.mp4