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Paper Abstract and Keywords
Presentation 2022-01-20 14:20
[Short Paper] Estimation of Sound Environment in Room by applying to Transfer Learning using Spectrograms Images
Shota Sano, Yuusuke Kawakita, Tsuyoshi Miyazaki, Hiroshi Tanaka (KAIT) SeMI2021-57
Abstract (in Japanese) (See Japanese page) 
(in English) A variety of environmental sounds exist in a room, and the classification of these sounds can be expected to have various applications such as monitoring living conditions. The most common method for extracting environmental sounds is to remove unnecessary sounds as noise. However, in this experiment, the authors considered whether it is possible to estimate the entire sound environment by converting the acquired environmental sounds into spectrogram images and applying transfer learning. In the actual environment, the level of the environmental sound varies depending on the magnitude and distance of the sound source. Therefore, we created a learned model with multiple signal-to-noise ratios, and confirmed that the classification accuracy can be maintained even under these conditions. In addition, we verified the robustness of the learned model by performing classification on spectrogram images created under different conditions from those in the learned model.
Keyword (in Japanese) (See Japanese page) 
(in English) Sound classification / Spectrogram / Transfer Learning / Indoor Sound Environment / Robustness / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 333, SeMI2021-57, pp. 22-25, Jan. 2022.
Paper # SeMI2021-57 
Date of Issue 2022-01-13 (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 2022-01-20 - 2022-01-21 
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 2022-01-SeMI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of Sound Environment in Room by applying to Transfer Learning using Spectrograms Images 
Sub Title (in English)  
Keyword(1) Sound classification  
Keyword(2) Spectrogram  
Keyword(3) Transfer Learning  
Keyword(4) Indoor Sound Environment  
Keyword(5) Robustness  
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1st Author's Name Shota Sano  
1st Author's Affiliation Kanagawa Institute of Technology (KAIT)
2nd Author's Name Yuusuke Kawakita  
2nd Author's Affiliation Kanagawa Institute of Technology (KAIT)
3rd Author's Name Tsuyoshi Miyazaki  
3rd Author's Affiliation Kanagawa Institute of Technology (KAIT)
4th Author's Name Hiroshi Tanaka  
4th Author's Affiliation Kanagawa Institute of Technology (KAIT)
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Speaker Author-1 
Date Time 2022-01-20 14:20:00 
Presentation Time 10 minutes 
Registration for SeMI 
Paper # SeMI2021-57 
Volume (vol) vol.121 
Number (no) no.333 
Page pp.22-25 
#Pages
Date of Issue 2022-01-13 (SeMI) 


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