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 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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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) |
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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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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 |
7 |
Date of Issue |
2020-03-03 (IBISML) |
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