Paper Abstract and Keywords |
Presentation |
2019-03-14 13:30
[Poster Presentation]
Snore sound identification using noise suppression and multi-class classification under real environments Keisuke Nishijima, Ken'ichi Furuya (Oita Univ.) EA2018-106 SIP2018-112 SP2018-68 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In the conventional snore sound identification method, there is an issue that performance deteriorates when identifying snore sound under real environments. Therefore, it is necessary to deal with various stationary and nonstationary noise which is the cause of the drop. In this research, we tried to deal with stationary noise by spectral subtraction method of noise suppression method. We regarded nonstationary noise as a class for each type of noise and tried to identify snore sound using multi-class classification. For multi-class classification, multi-kernel learning with support vector machine, multilayer perceptron which is one kind of neural network was used. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Snore sound / Support vector machine / Multiple kernel learning / Multilayer perceptron / Deep learning / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 495, EA2018-106, pp. 43-48, March 2019. |
Paper # |
EA2018-106 |
Date of Issue |
2019-03-07 (EA, SIP, SP) |
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 |
EA2018-106 SIP2018-112 SP2018-68 |
Conference Information |
Committee |
EA SIP SP |
Conference Date |
2019-03-14 - 2019-03-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
i+Land nagasaki (Nagasaki-shi) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Engineering/Electro Acoustics, Signal Processing, Speech, and Related Topics |
Paper Information |
Registration To |
EA |
Conference Code |
2019-03-EA-SIP-SP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Snore sound identification using noise suppression and multi-class classification under real environments |
Sub Title (in English) |
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Keyword(1) |
Snore sound |
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Support vector machine |
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Multiple kernel learning |
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Multilayer perceptron |
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Deep learning |
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1st Author's Name |
Keisuke Nishijima |
1st Author's Affiliation |
Oita University (Oita Univ.) |
2nd Author's Name |
Ken'ichi Furuya |
2nd Author's Affiliation |
Oita University (Oita Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-03-14 13:30:00 |
Presentation Time |
90 minutes |
Registration for |
EA |
Paper # |
EA2018-106, SIP2018-112, SP2018-68 |
Volume (vol) |
vol.118 |
Number (no) |
no.495(EA), no.496(SIP), no.497(SP) |
Page |
pp.43-48 |
#Pages |
6 |
Date of Issue |
2019-03-07 (EA, SIP, SP) |
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