IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2021-05-27 09:50
Investigation and Evaluation Experiment of Noise Removal for Voice Recognition in Specific Noisy Environment
Shota Sano, Fumitaka Murakami, Yuusuke Kawakita, Tsuyoshi Miyazaki, Hiroshi Tanaka (KAIT) SeMI2021-2
Abstract (in Japanese) (See Japanese page) 
(in English) In this manuscript, the noise removal performance and speech recognition accuracy is described when noise is removed by assuming the specific situation in order to improve speech recognition accuracy in a noisy environment such as a crowded spot or in a train. Noise removal was performed by using the SS and DAE method in the experiment. We created speech data with noise superimposed with 2 types of noise assuming crowded spot and inside a train, and 6 types of SN ratio of -10, -5, 0, 5, 10, 15 dB. In the DAE method, the noise was removed and compared by using the model created by mixing multiple noises, and learning models individually created by adding each noise with SN condition. The noise removal performance was evaluated by the cosine similarity to the time-series data, the similarity of the spectrogram image by the normalized correlation, and the speech recognition accuracy between speech data before noise superimposition and the noise removal. It was verified that the individual learning model gave better results than the results by the model created by mixing noise. Also it was confirmed that speech recognition was possible with an accuracy of about 80% only for the model individually created under the conditions of SN ratio of 10dB.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Voice Recognition / Noise Removal / DAE / Spectral Subtraction / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 41, SeMI2021-2, pp. 5-10, May 2021.
Paper # SeMI2021-2 
Date of Issue 2021-05-20 (SeMI) 
ISSN Online edition: ISSN 2432-6380
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 SeMI2021-2

Conference Information
Conference Date 2021-05-27 - 2021-05-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2021-05-SeMI-MBL-DPS-ITS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Investigation and Evaluation Experiment of Noise Removal for Voice Recognition in Specific Noisy Environment 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Voice Recognition  
Keyword(3) Noise Removal  
Keyword(4) DAE  
Keyword(5) Spectral Subtraction  
1st Author's Name Shota Sano  
1st Author's Affiliation Kanagawa Institute of Technology (KAIT)
2nd Author's Name Fumitaka Murakami  
2nd Author's Affiliation Kanagawa Institute of Technology (KAIT)
3rd Author's Name Yuusuke Kawakita  
3rd Author's Affiliation Kanagawa Institute of Technology (KAIT)
4th Author's Name Tsuyoshi Miyazaki  
4th Author's Affiliation Kanagawa Institute of Technology (KAIT)
5th Author's Name Hiroshi Tanaka  
5th Author's Affiliation Kanagawa Institute of Technology (KAIT)
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2021-05-27 09:50:00 
Presentation Time 20 minutes 
Registration for SeMI 
Paper # SeMI2021-2 
Volume (vol) vol.121 
Number (no) no.41 
Page pp.5-10 
Date of Issue 2021-05-20 (SeMI) 

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan