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Automatic Composition Using Training Capability of Artificial Neural Networks and Chord Progression
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인공신경망의 학습기능과 화성진행을 이용한 자동작곡

논문 기본 정보

Type
Academic journal
Author
Jin-Woo Oh (한성대학교) Jung-Hyun Song (한성대학교) Kyung-Hwan Kim (한성대학교) Sung Hoon Jung (한성대학교)
Journal
Korea Multimedia Society Journal of Korea Multimedia Society Vol.18 No.11 KCI Accredited Journals
Published
2015.11
Pages
1,358 - 1,366 (9page)

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Automatic Composition Using Training Capability of Artificial Neural Networks and Chord Progression
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Abstract· Keywords

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This paper proposes an automatic composition method using the training capability of artificial neural networks and chord progression rules that are widely used by human composers. After training a given song, the new melody is generated by the trained artificial neural networks through applying a different initial melody to the neural networks. The generated melody should be modified to fit the rhythm and chord progression rules for generating natural melody. In order to achieve this object, we devised a post-processing method such as chord candidate generation, chord progression, and melody correction. From some tests we could find that the melody after the post-processing was very improved from the melody generated by artificial neural networks. This enables our composition system to generate a melody which is similar to those generated by human composers.
#Automatic Composition #Artificial Neural Networks #Chord Post-Processing

Contents

ABSTRACT
1. 서론
2. 관련연구
3. 인공신경망 학습방법
4. 화성진행을 이용한 화성 후처리 및 멜로디 수정
5. 작곡 결과
6. 결론
REFERENCE

References (12)

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[학술대회논문] - B. Johanson / 1998 / GP-Music : An Interactive Genetic Programming System for Music Generation with Automated Fitness Raters / Proceedings of the Third Annual Conference : 181 ~ 186 google schola [학술대회논문] - N. Tokui / 2000 / Music Composition with Interactive Evolutionary Computation / Proceedings of the Third International Conference on Generative Art : 215 ~ 226 google schola [학술대회논문] - A. Santos / 2000 / Evolutionary Computation Systems for Musical Composition / Proceedings of the International Conference Acoustic and Music: Theory and Applications : 97 ~ 102 google schola [학술대회논문] - C. Chen / 2001 / Creating Melodies with Evolving Recurrent Neural Networks / Proceedings of the 2001 International Joint Conference on Neural Networks : 2241 ~ 2246 google schola [학술대회논문] - D. C. Corrêa / 2008 / Neural Network based Systems for Computer-aided Musical Composition: Supervised x Unsupervised Learning / Proceedings of the 2008 ACM Symposium on Applied Computing : 1738 ~ 1742 google schola

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