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ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
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Scopus
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CNKI
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etc
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Acceptance Rate:
19%
APC:
500 USD
Average Days to Accept:
135 days
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Impact Factor 2022: 1.0
3.1
2022
CiteScore
49th percentile
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2024-03-28
Vol. 15, No. 3 has been published online!
2024-02-26
The papers published in Vol. 15, Nos. 1&2 have been registered with Crossref.
2024-02-26
Vol. 15, No. 2 has been published online!
Home
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2020
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Volume 11, No. 1, February 2020
>
Musical Rendering Models by Sequential Tension Rules
Tetsuya Mizutani and Yuki Nakata
University of Tsukuba, Tsukuba, Japan
Abstract
—Music informatics, especially study of musical rendition models is one of the most important areas in computer science and artificial intelligence. In order to investigate and develop musical rendition models, musical expressions of piano performances using hierarchical tonal tension rules have been analyzed by the authors. The rules are very complicated and hence it is hard to analyze large amount of music pieces. In this article musical expression is analyzed using sequential tension rules which are very simpler than the hierarchical ones. The results of the analyses by these two kinds of rules are also compared. From these comparisons, some notable results are obtained, i.e. though the results of the analyses in hierarchical rules are more precise than ones in sequential ones, the results in the latter are also useful to construct musical rendition models.
Index Terms
—tonal music theory, sequential and hierarchical tonal tension rules, multiple regression analysis
Cite: Tetsuya Mizutani and Yuki Nakata, "Musical Rendering Models by Sequential Tension Rules," Journal of Advances in Information Technology, Vol. 11, No. 1, pp. 21-25, February 2020. doi: 10.12720/jait.11.1.21-25
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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