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Paper Abstract and Keywords
Presentation 2016-11-18 12:45
Voice Actor Recognition Using Frequency Spectrum in Anime Video
Motoki Eida, Shun Hattori (Muroran Inst. of Tech.) IN2016-64
Abstract (in Japanese) (See Japanese page) 
(in English) When we hear someone's voice from an anime video, we need to carry extra burdens of searching the end roll of the anime video in order to know about whose voice it is. If a system can recognize a voice actor from his/her voice on behalf of us, not only we can know about the voice actor's name without carrying extra burdens, but also we can acquire widely information about him/her such as his/her appearance information, blogs, related videos, related goods, and event information in the future. Our previous research has been tackling a system of voice actor recognition with filtering by cast information extracted from the Web and similarity calculation based on voice amplitude, but the system could not give enough good performance as voice actor recognition accuracy. Therefore, this paper proposes a novel system of voice actor recognition that utilizes not voice amplitude but frequency power spectrum. Our proposed system identifies the "characteristic power spectrum" for each of individual voice actors who are registered in the database of the system by auto-correlation analysis in advance, and recognizes a voice actor from a voice in a playing anime video by comparing the voice's frequency power spectrum with each individual voice actor's characteristic power spectrum registered in the database.
Keyword (in Japanese) (See Japanese page) 
(in English) Voice Actor Recognition / Speech Recognition / Characteristic Power Spectrum / Auto-Correlation / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 304, IN2016-64, pp. 25-30, Nov. 2016.
Paper # IN2016-64 
Date of Issue 2016-11-10 (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)
Download PDF IN2016-64

Conference Information
Committee IN MoNA CNR  
Conference Date 2016-11-17 - 2016-11-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Kirishima-kanko Hotel 
Topics (in Japanese) (See Japanese page) 
Topics (in English) M2M, IoT, Self Organization, Autonomous Distributed Control, Car Area Network, Car-Car network, Car-Road Network, ITS, Big Data Analysis, Cyber Physical System (CPS), Security Privacy Protection, Social Network (SNS), Cyber Attack resolution, Mobile Virtualization, Mobile Application, Cloud Robotics Service, etc. 
Paper Information
Registration To IN 
Conference Code 2016-11-IN-MoNA-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Voice Actor Recognition Using Frequency Spectrum in Anime Video 
Sub Title (in English)  
Keyword(1) Voice Actor Recognition  
Keyword(2) Speech Recognition  
Keyword(3) Characteristic Power Spectrum  
Keyword(4) Auto-Correlation  
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1st Author's Name Motoki Eida  
1st Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
2nd Author's Name Shun Hattori  
2nd Author's Affiliation Muroran Institute of Technology (Muroran Inst. of Tech.)
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Speaker Author-1 
Date Time 2016-11-18 12:45:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2016-64 
Volume (vol) vol.116 
Number (no) no.304 
Page pp.25-30 
#Pages 6 
Date of Issue 2016-11-10 (IN) 

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