| 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 |
| Download PDF |
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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) |
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| 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) |
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| Keyword(1) |
Automatic composition |
| Keyword(2) |
kanji learning |
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mechanical learning |
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| 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 |
| #Pages |
4 |
| Date of Issue |
2022-02-05 (ME) |
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