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 2019-03-14 13:30
[Poster Presentation] Diffuse noise reduction using adversarial denoising autoencoder
Hikari Tanabe, Naohiro Tawara, Tetsunori Kobayashi (Waseda Univ.), Masaru Fujieda, Katagiri Kazuhiro, Takashi Yazu (OKI), Tetsuji Ogawa (Waseda Univ.) EA2018-125 SIP2018-131 SP2018-87
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we attempted to remove diffuse noise by a model combining a prefilter and an adversarial denoising autoencoder (aDAE). Since diffuse noise is caused by many noise sources or surface sound sources, it was difficult to remove diffuse noise by approaches assuming point sound sources. Deep learning based methods are expected to remove diffuse noise effectively since they are unnecessary to use assumption, but on the other hand, over fitting is likely to occur and the performance is deteriorated for unknown noise which is not used for training. In order to facilitate learning of aDAE, we used MVDR beamformer or ideal binary masking(idBM) as a pre-filter. We also introduced noise-aware training which feeds aDAE a noise-extracted signal as an auxiliary signal. Experiments using 2 channel microphones showed the effectiveness of pre-filter, aDAE with pre-filter outperformed original aDAE. Although MVDR beamformer cannot direct null angle to all interfering sources and its noise suppression is not strong, high performance is achieved by combining with aDAE. It was confirmed that noise-aware training is effective for aDAE with MVDR beamformer combined. By comparing pre-filters, it was revealed that MVDR beamformer is more suitable as a pre-filter of aDAE than idBM.
Keyword (in Japanese) (See Japanese page) 
(in English) noise reduction / adversarial generative network / MVDR beamformer / ideal-binary masking / noise-aware training / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 497, SP2018-87, pp. 155-160, March 2019.
Paper # SP2018-87 
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 EA2018-125 SIP2018-131 SP2018-87

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 SP 
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) Diffuse noise reduction using adversarial denoising autoencoder 
Sub Title (in English)  
Keyword(1) noise reduction  
Keyword(2) adversarial generative network  
Keyword(3) MVDR beamformer  
Keyword(4) ideal-binary masking  
Keyword(5) noise-aware training  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Hikari Tanabe  
1st Author's Affiliation Waseda City University (Waseda Univ.)
2nd Author's Name Naohiro Tawara  
2nd Author's Affiliation Waseda City University (Waseda Univ.)
3rd Author's Name Tetsunori Kobayashi  
3rd Author's Affiliation Waseda City University (Waseda Univ.)
4th Author's Name Masaru Fujieda  
4th Author's Affiliation OKI Electric Industry Co. (OKI)
5th Author's Name Katagiri Kazuhiro  
5th Author's Affiliation OKI Electric Industry Co. (OKI)
6th Author's Name Takashi Yazu  
6th Author's Affiliation OKI Electric Industry Co. (OKI)
7th Author's Name Tetsuji Ogawa  
7th Author's Affiliation Waseda City University (Waseda Univ.)
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 2019-03-14 13:30:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # EA2018-125, SIP2018-131, SP2018-87 
Volume (vol) vol.118 
Number (no) no.495(EA), no.496(SIP), no.497(SP) 
Page pp.155-160 
#Pages
Date of Issue 2019-03-07 (EA, SIP, SP) 


[Return to Top Page]

[Return to IEICE Web Page]


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