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Paper Abstract and Keywords
Presentation 2020-01-31 13:00
Basic Evaluation of Environmental Noise Removal for Improving Alarm Sound Source Classification Performance
Takeru Kadokura, Yuuki Hashizume, Yuusuke Kawakita, Hiroshi Tanaka (Kanagawa Institute of Technology) SeMI2019-114
Abstract (in Japanese) (See Japanese page) 
(in English) The authors are studying a method to classify ringing devices with high accuracy using neural networks from indoor alarm sounds for hearing impaired people and elderly people. In the room, there are many noises that affect the classification performance, such as the sound of a vacuum cleaner and a TV, as well as the alarm sound source. This paper describes the results of comparing the classification performance using the Spectral Subtraction method and the Denoising Autoencoder used for noise removal while changing the noise level.
Keyword (in Japanese) (See Japanese page) 
(in English) Neural Network / Classification / Noise Reduction / Spectral Subtraction / Denoising Autoencoder / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 406, SeMI2019-114, pp. 57-62, Jan. 2020.
Paper # SeMI2019-114 
Date of Issue 2020-01-23 (SeMI) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee SeMI  
Conference Date 2020-01-30 - 2020-01-31 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2020-01-SeMI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Basic Evaluation of Environmental Noise Removal for Improving Alarm Sound Source Classification Performance 
Sub Title (in English)  
Keyword(1) Neural Network  
Keyword(2) Classification  
Keyword(3) Noise Reduction  
Keyword(4) Spectral Subtraction  
Keyword(5) Denoising Autoencoder  
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1st Author's Name Takeru Kadokura  
1st Author's Affiliation Kanagawa Institute of Technology (Kanagawa Institute of Technology)
2nd Author's Name Yuuki Hashizume  
2nd Author's Affiliation Kanagawa Institute of Technology (Kanagawa Institute of Technology)
3rd Author's Name Yuusuke Kawakita  
3rd Author's Affiliation Kanagawa Institute of Technology (Kanagawa Institute of Technology)
4th Author's Name Hiroshi Tanaka  
4th Author's Affiliation Kanagawa Institute of Technology (Kanagawa Institute of Technology)
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Speaker Author-1 
Date Time 2020-01-31 13:00:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SeMI2019-114 
Volume (vol) vol.119 
Number (no) no.406 
Page pp.57-62 
#Pages
Date of Issue 2020-01-23 (SeMI) 


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