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Paper Abstract and Keywords
Presentation 2022-02-12 09:15
Automatic music generation from characters
Naoki Mizowaki (NITKC), Tetsuro Kitahara (NU), Yasuyuki Saito (NITKC)
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we propose a system that automatically generates music pieces from characters in order to provide a new method of supporting the learning of kanji characters. There are 2,136 kanji characters designated for regular use in Japan, and some of them have many strokes and complicated shapes, so it takes a lot of effort to memorize them. In addition, it is inefficient in terms of time and effort to write or read kanji over and over again, which is a common method of learning kanji, and this may discourage students from learning kanji. Therefore, we thought that using music as a cue for memory reproduction would make learning more efficient. The system extracts melodic outlines from the character strokes input by the user, and generates music by loading the melodic outlines into JamSketch.
Keyword (in Japanese) (See Japanese page) 
(in English) Automatic composition / kanji learning / mechanical learning / / / / /  
Reference Info. ITE Tech. Rep., vol. 46, no. 4, ME2022-2, pp. 5-8, Feb. 2022.
Paper # ME2022-2 
Date of Issue 2022-02-05 (ME) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee ME  
Conference Date 2022-02-12 - 2022-02-12 
Place (in Japanese) (See Japanese page) 
Place (in English) online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2022-02-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic music generation from characters 
Sub Title (in English)  
Keyword(1) Automatic composition  
Keyword(2) kanji learning  
Keyword(3) mechanical learning  
1st Author's Name Naoki Mizowaki  
1st Author's Affiliation National Institute of Technology Kisarazu College (NITKC)
2nd Author's Name Tetsuro Kitahara  
2nd Author's Affiliation Nihon University (NU)
3rd Author's Name Yasuyuki Saito  
3rd Author's Affiliation National Institute of Technology Kisarazu College (NITKC)
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Speaker Author-1 
Date Time 2022-02-12 09:15:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # ME2022-2 
Volume (vol) vol.46 
Number (no) no.4 
Page pp.5-8 
Date of Issue 2022-02-05 (ME) 

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