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| Paper Abstract and Keywords | ||
| Presentation | 2021-06-19 15:00 Development of ultrasonic signal classification system using deep learning Kosei Ozeki, Naofumi Aoki, Yoshinori Dobashi (Hokkaido Univ.), Kenichi Ikeda, Hiroshi Yasuda (SST)  SP2021-21 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The problem with sound wave communication is that it causes more incorrect identification than radio wave communication. It is caused by the distortion of sound signals due to disturbances such as environmental noise, reverberation, reverberation, and Doppler effect. In this study, aiming at further sophistication of sound wave communication, we design a classifier that discriminates signals from a disturbance environment using deep learning, and describe the results of performance evaluation. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | sound wave communication / neural network / spectrogram / image recognition / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 66, SP2021-21, pp. 97-100, June 2021. | |
| Paper # | SP2021-21 | |
| Date of Issue | 2021-06-11 (SP) | |
| 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) | |
| Download PDF | SP2021-21 |
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| Conference Information | |
| Committee | SP IPSJ-SLP IPSJ-MUS |
| Conference Date | 2021-06-18 - 2021-06-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | OTOGAKU Symposium 2021 |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2021-06-SP-SLP-MUS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Development of ultrasonic signal classification system using deep learning |
| Sub Title (in English) | |
| Keyword(1) | sound wave 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 Aoki |
| 2nd Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name | Yoshinori Dobashi |
| 3rd Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
| 4th Author's Name | Kenichi Ikeda |
| 4th Author's Affiliation | Smart Solution Technology, Inc. (SST) |
| 5th Author's Name | Hiroshi Yasuda |
| 5th Author's Affiliation | Smart Solution Technology, Inc. (SST) |
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| Speaker | Author-1 |
| Date Time | 2021-06-19 15:00:00 |
| Presentation Time | 120 minutes |
| Registration for | SP |
| Paper # | SP2021-21 |
| Volume (vol) | vol.121 |
| Number (no) | no.66 |
| Page | pp.97-100 |
| #Pages | 4 |
| Date of Issue | 2021-06-11 (SP) |
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