イトウ　アキノリ   Akinori Ito   伊藤　彰教    所属   メディア学部 メディア学科    職種   特任講師
言語種別	英語
発行・発表の年月	2022/06
形態種別	国際会議論文
標題	Research on Music Transition Using Neo- Riemannian Theory and Bayesian Network
執筆形態	共著
掲載誌名	Proceedings of 2022 Nicograph International
掲載区分	国外
出版社・発行元	Nicograph International
巻・号・頁	pp.96-96
総ページ数	1
著者・共著者	Takuto Machida, Akinori Ito, Koji Mikami
概要	In this study, two theoretical studies were combined. On the music theory side, we used Neo-Riemannian theory to analyze the music, and Bayesian networks on the mathematics side. R was used to construct the Bayesian network. Using these two methods, we have developed a mathematical model of musical transitions, and have also attempted to create music based on the probability of chord progressions.
外部リンクURL	https://ieeexplore.ieee.org/document/9848497