Paper Abstract and Keywords |
Presentation |
2018-01-23 14:50
BPM Estimation of Anime Incidental Music by Multiple Regression Analysis of Spoken Lines Yuta Ito, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.) IN2017-88 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Incidental music is background music of TV drama, anime, films, Plays, and so forth, and it is an important element to determine the impression of each scene. But production of incidental music is done by many people over time, and it takes many costs. Therefore, this research proposes an automatic composition system of incidental music. As the first step, this paper studies a BPM (Beats Per Minute) estimation method. BPM is one of components of incidental music. For BPM estimation, our proposed method uses multiple regression analysis based on the contents of anime video, especially the emotions of characters such as "delight," "anger," "sorrow," and "pleasure," and their movements such as "run" and "fight." The method judges and quantifies these content information that represents what scene an anime video targeted for BPM estimation is, using spoken lines of the anime video, and determines the prediction equation of BPM by multiple regression analysis. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Multiple Regression Analysis / BPM Estimation / Automatic Composition / Incidental Music / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 397, IN2017-88, pp. 97-102, Jan. 2018. |
Paper # |
IN2017-88 |
Date of Issue |
2018-01-15 (IN) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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IN2017-88 |
Conference Information |
Committee |
IN |
Conference Date |
2018-01-22 - 2018-01-23 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
WINC AICHI |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Contents Distribution, Social Networking Services, Data Analytics and Processing Platform, Big data, etc. |
Paper Information |
Registration To |
IN |
Conference Code |
2018-01-IN |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
BPM Estimation of Anime Incidental Music by Multiple Regression Analysis of Spoken Lines |
Sub Title (in English) |
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Keyword(1) |
Multiple Regression Analysis |
Keyword(2) |
BPM Estimation |
Keyword(3) |
Automatic Composition |
Keyword(4) |
Incidental Music |
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1st Author's Name |
Yuta Ito |
1st Author's Affiliation |
Muroran Institute of Technology (Muroran Inst. of Tech.) |
2nd Author's Name |
Komei Arasawa |
2nd Author's Affiliation |
Muroran Institute of Technology (Muroran Inst. of Tech.) |
3rd Author's Name |
Shun Hattori |
3rd Author's Affiliation |
Muroran Institute of Technology (Muroran Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2018-01-23 14:50:00 |
Presentation Time |
25 minutes |
Registration for |
IN |
Paper # |
IN2017-88 |
Volume (vol) |
vol.117 |
Number (no) |
no.397 |
Page |
pp.97-102 |
#Pages |
6 |
Date of Issue |
2018-01-15 (IN) |
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