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Paper Abstract and Keywords
Presentation 2015-12-02 16:30
Distant-talking speech recognition by reverberation-aware denoising autoencoder
Yuma Ueda (Shizuoka Univ.), Longbiao Wang (Nagaoka Univ.), Atsuhiko Kai (Shizuoka Univ.) SP2015-77
Abstract (in Japanese) (See Japanese page) 
(in English) In the distant-talking speech recognition, it is essential to deal with the noise and reverberation.Denoising autoencoder (DAE) is known to be effective as a method for removing these influences.However, conventional DAE is easily affected by mismatch between training data and test data because the performance of DAE depend on the environment or amount of data included in the training set.In this study, we also use reverberation features estimated by Multi Step Linear Prediction (MSLP) as additional to input of DAE.By explicitly considering the effects of reverberation, we solve the problems in conventional DAE-based system.We evaluate the proposed method by using the ``REVERB challenge'' (Reverberant Voice Enhancement and Recognition Benchmark) dataset.For SimData, the average Word Error Rate (WER) was reduced from 7.12% to 6.41%.For RealData, the average WER was reduced from 30.56% to 26.83%.
Keyword (in Japanese) (See Japanese page) 
(in English) speech recognition / dereverberation / denoising autoencoder / distant-talking speech / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 346, SP2015-77, pp. 55-60, Dec. 2015.
Paper # SP2015-77 
Date of Issue 2015-11-25 (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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
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Conference Information
Committee NLC IPSJ-NL SP IPSJ-SLP  
Conference Date 2015-12-02 - 2015-12-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Inst of Tech. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Second Natural Language Processing Symposium & The 17th Spoken Language Symposium 
Paper Information
Registration To SP 
Conference Code 2015-12-NLC-NL-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Distant-talking speech recognition by reverberation-aware denoising autoencoder 
Sub Title (in English)  
Keyword(1) speech recognition  
Keyword(2) dereverberation  
Keyword(3) denoising autoencoder  
Keyword(4) distant-talking speech  
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1st Author's Name Yuma Ueda  
1st Author's Affiliation Shizuoka University (Shizuoka Univ.)
2nd Author's Name Longbiao Wang  
2nd Author's Affiliation Nagaoka University of Technology (Nagaoka Univ.)
3rd Author's Name Atsuhiko Kai  
3rd Author's Affiliation Shizuoka University (Shizuoka Univ.)
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Speaker Author-1 
Date Time 2015-12-02 16:30:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # SP2015-77 
Volume (vol) vol.115 
Number (no) no.346 
Page pp.55-60 
#Pages
Date of Issue 2015-11-25 (SP) 


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