• Journal of Digital Contents Society
• /
• v.17 no.6
• /
• pp.449-459
• /
• 2016

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.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2014.04a
• /
• pp.796-797
• /
• 2014

작곡은 작곡가의 경험을 바탕으로 표현 하고자 하는 감정을 멜로디로 나타내는 창작활동이다. 본 논문에서는 이러한 작곡을 인공신경망을 이용하여 구현하기 위한 여러 가지 방법에 대하여 제안한다. 또한 제안한 방법으로 작곡된 결과를 살펴보고 결과를 분석한다. 다만 현재는 연구초기로서 추가적으로 발생하는 여러 문제를 추후 보완할 필요가 있다.