Paper Abstract and Keywords |
Presentation |
2020-07-20 13:00
A Symbol Classification Technique for Inaudible Sound Communication Systems Using a Machine Learning Approach Kosei Ozeki, Naofumi Aok, Saki Anazawa, Yoshinori Dobashi (Hokkaido Univ.), Kenichi Ikeda, Hiroshi Yasuda (SST, Inc.) EA2020-1 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this research, we have developed a system that performs data communication by embedding information in high frequency band which is inaudible components of sound signal. Sound communication signals are characterized in that they are difficult to identify due to disturbances such as environmental noise and Doppler effect. In this paper, we discuss the possibility of sound communication that employs image recognition technique based on applying a neural network to sound spectrogram. This paper describes some experimental results evaluating the performance of our proposed technique. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
sound communication / neural network / spectrogram / image recognition / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 118, EA2020-1, pp. 1-6, July 2020. |
Paper # |
EA2020-1 |
Date of Issue |
2020-07-13 (EA) |
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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EA2020-1 |
Conference Information |
Committee |
EA ASJ-H |
Conference Date |
2020-07-20 - 2020-07-21 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Engineering/Electro Acoustics, Psychological and Physiological Acoustics, Musical Acoustics, Education in Acoustics, and Related Topics |
Paper Information |
Registration To |
EA |
Conference Code |
2020-07-EA-H |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Symbol Classification Technique for Inaudible Sound Communication Systems Using a Machine Learning Approach |
Sub Title (in English) |
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Keyword(1) |
sound communication |
Keyword(2) |
neural network |
Keyword(3) |
spectrogram |
Keyword(4) |
image recognition |
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1st Author's Name |
Kosei Ozeki |
1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
2nd Author's Name |
Naofumi Aok |
2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
3rd Author's Name |
Saki Anazawa |
3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
4th Author's Name |
Yoshinori Dobashi |
4th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
5th Author's Name |
Kenichi Ikeda |
5th Author's Affiliation |
Smart Solution Technology, Inc. (SST, Inc.) |
6th Author's Name |
Hiroshi Yasuda |
6th Author's Affiliation |
Smart Solution Technology, Inc. (SST, Inc.) |
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Speaker |
Author-1 |
Date Time |
2020-07-20 13:00:00 |
Presentation Time |
25 minutes |
Registration for |
EA |
Paper # |
EA2020-1 |
Volume (vol) |
vol.120 |
Number (no) |
no.118 |
Page |
pp.1-6 |
#Pages |
6 |
Date of Issue |
2020-07-13 (EA) |
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