• Title/Summary/Keyword: Hierarchical Artificial Neural Networks

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Automatic Generation of a Configured Song with Hierarchical Artificial Neural Networks (계층적 인공신경망을 이용한 구성을 갖춘 곡의 자동생성)

  • Kim, Kyung-Hwan;Jung, Sung Hoon
    • Journal of Digital Contents Society
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    • v.18 no.4
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    • pp.641-647
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    • 2017
  • 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.