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Paper Abstract and Keywords
Presentation 2020-03-10 15:25
Multi-modal Personal Authentication System Using CNN with Voice and Aerial Signature
Shogo Takaoka, Takeshi Yoshida, Takuya Kitamura (NIT, Toyama College) IBISML2019-38
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose multi-modal personal authentication system using convolution neural network(CNN) with voice and aerial signature. In this system, audio data is converted to a mel spectrogram, and we train CNN with the mel spectrogram as image data. The system has two types. In the first type, voice authentication and aerial signature authentication are connected in series. In the second type, they are connected in parallel. In voice authentication, we use mel spectrogram. In aerial signature authentication, we use position vectors and direction vectors. We verify the effectiveness of the proposed system with computer experiments of personal authentication.
Keyword (in Japanese) (See Japanese page) 
(in English) convolution neural network / multi-modal personal authentication / voice authentication / aerial signature authentication / DP matching / support vector machine / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 476, IBISML2019-38, pp. 37-43, March 2020.
Paper # IBISML2019-38 
Date of Issue 2020-03-03 (IBISML) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 IBISML2019-38

Conference Information
Committee IBISML  
Conference Date 2020-03-10 - 2020-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine learning, etc. 
Paper Information
Registration To IBISML 
Conference Code 2020-03-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Multi-modal Personal Authentication System Using CNN with Voice and Aerial Signature 
Sub Title (in English)  
Keyword(1) convolution neural network  
Keyword(2) multi-modal personal authentication  
Keyword(3) voice authentication  
Keyword(4) aerial signature authentication  
Keyword(5) DP matching  
Keyword(6) support vector machine  
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Keyword(8)  
1st Author's Name Shogo Takaoka  
1st Author's Affiliation National Institute of Technology, Toyama College (NIT, Toyama College)
2nd Author's Name Takeshi Yoshida  
2nd Author's Affiliation National Institute of Technology, Toyama College (NIT, Toyama College)
3rd Author's Name Takuya Kitamura  
3rd Author's Affiliation National Institute of Technology, Toyama College (NIT, Toyama College)
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Speaker Author-1 
Date Time 2020-03-10 15:25:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # IBISML2019-38 
Volume (vol) vol.119 
Number (no) no.476 
Page pp.37-43 
#Pages
Date of Issue 2020-03-03 (IBISML) 


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