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Paper Abstract and Keywords
Presentation 2018-03-16 10:45
Automatic estimation of Key-sound in Rhythm Action Games
Daiki Fukunaga, Yasunari Obuchi (Tokyo Univ. of Tech.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we introduced automatic estimation of so-called key-sounds aiming at automatic generation of the game data in the games classified as "Rhythm Action Games". A key sound is the sound object extracted from the music and played according to the player's action. We performed machine learning experiments to classify the sound object into key-sound and other using acoustic and time series features, and obtained the accuracy higher than 90% in some situations.
Keyword (in Japanese) (See Japanese page) 
(in English) Music / Acoustic information / Machine Leaning / Rhythm Action Games / Key-sound / / /  
Reference Info. ITE Tech. Rep., vol. 42, pp. 181-184, March 2018.
Paper #  
Date of Issue 2018-03-09 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee AIT IIEEJ AS CG-ARTS  
Conference Date 2018-03-16 - 2018-03-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo University of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AS 
Conference Code 2018-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic estimation of Key-sound in Rhythm Action Games 
Sub Title (in English)  
Keyword(1) Music  
Keyword(2) Acoustic information  
Keyword(3) Machine Leaning  
Keyword(4) Rhythm Action Games  
Keyword(5) Key-sound  
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Keyword(8)  
1st Author's Name Daiki Fukunaga  
1st Author's Affiliation Tokyo University of Technology (Tokyo Univ. of Tech.)
2nd Author's Name Yasunari Obuchi  
2nd Author's Affiliation Tokyo University of Technology (Tokyo Univ. of Tech.)
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Speaker Author-1 
Date Time 2018-03-16 10:45:00 
Presentation Time 90 minutes 
Registration for AS 
Paper # AIT2018-93 
Volume (vol) vol.42 
Number (no) no.12 
Page pp.181-184 
#Pages
Date of Issue 2018-03-09 (AIT) 


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