| Paper Abstract and Keywords |
| Presentation |
2014-03-08 10:35
A Smart-Phone Based System To Detect Warning Sound For Hearing Impaired People Koichiro Takeuchi, Tetsuya Matsumoto (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.), Hiroaki Kudo, Noboru Ohnishi (Nagoya Univ.) WIT2013-82 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The purpose of this study is to develop a system detecting warning sound for a pedestrian. The system applies a IIR band pass filter to an input signal as preprocessing, and then applies a IIR comb filter corresponding to the fundamental frequency of warning sounds. The system obtains the ratio of the mean of the absolute values of the input signal to the output signal of the comb filter, and detects warning sounds by thresholding the ratio. We conducted experiments, in which ambulance sirens corrupted by three kinds of noise samples are inputted to the system. As a result, the proposed system can detect the ambulance sirens with accuracy above of 94% under noisy environments of SNR 10, 0dB, and with accuracy of about 65% under noisy environment of SNR -10dB. However, the system cannot well detect an ambulance siren recorded on the road with accuracy of above 40%. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
sound source recognition / warning sound / IIR comb filter / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 113, no. 481, WIT2013-82, pp. 87-92, March 2014. |
| Paper # |
WIT2013-82 |
| Date of Issue |
2014-02-28 (WIT) |
| 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 |
WIT2013-82 |
| Conference Information |
| Committee |
WIT |
| Conference Date |
2014-03-07 - 2014-03-08 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kasuga Campus, Tsukuba University of Technology |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Well-being Information Technology, etc. |
| Paper Information |
| Registration To |
WIT |
| Conference Code |
2014-03-WIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Smart-Phone Based System To Detect Warning Sound For Hearing Impaired People |
| Sub Title (in English) |
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| Keyword(1) |
sound source recognition |
| Keyword(2) |
warning sound |
| Keyword(3) |
IIR comb filter |
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| 1st Author's Name |
Koichiro Takeuchi |
| 1st Author's Affiliation |
Nagoya University (Nagoya Univ.) |
| 2nd Author's Name |
Tetsuya Matsumoto |
| 2nd Author's Affiliation |
Nagoya University (Nagoya Univ.) |
| 3rd Author's Name |
Yoshinori Takeuchi |
| 3rd Author's Affiliation |
Daido University (Daido Univ.) |
| 4th Author's Name |
Hiroaki Kudo |
| 4th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
| 5th Author's Name |
Noboru Ohnishi |
| 5th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2014-03-08 10:35:00 |
| Presentation Time |
25 minutes |
| Registration for |
WIT |
| Paper # |
WIT2013-82 |
| Volume (vol) |
vol.113 |
| Number (no) |
no.481 |
| Page |
pp.87-92 |
| #Pages |
6 |
| Date of Issue |
2014-02-28 (WIT) |