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Paper Abstract and Keywords
Presentation 2014-05-24 11:30
Distant-talking Speech Recognition with Asynchronous Speech Recording
Shunta Teraoka, Yuma Ueda (Shizuoka Univ.), Longbiao Wang (Nagaoka Univ. of Tech.), Atsuhiko Kai, Taku Fukushima (Shizuoka Univ.) SP2014-16
Abstract (in Japanese) (See Japanese page) 
(in English) Although applications using mobile terminals have attracted increasing attention, there are few studies that focus on distant-talking speech recognition with asynchronous recording using several mobile terminals. In this paper, we propose a robust distant-talking speech recognition system with asynchronous speech recording. For the system proposed in this paper, after applying a denoising autoencoder in the cepstral-domain of speech to suppress reverberation and performing Large Vocabulary Continuous Speech Recognition (LVCSR), we adopted automatic asynchronous mobile terminal selection and environment adaptation using speech segments from optimal mobile terminals. The proposed method was evaluated using a reverberant WSJCAM0 corpus, which was emitted by a loudspeaker and recorded in a meeting room with multiple speakers by far- eld multiple mobile terminals. By integrating a cepstral-domain denoising autoencoder and automatic mobile terminal selection with environment adaptation, the average Word Error Rate (WER) was reduced from 51.8% of the baseline system to 28.8%, i.e., the relative error reduction rate was 44.4% when using multi-condition acoustic models.
Keyword (in Japanese) (See Japanese page) 
(in English) distant-talking speech recognition / asynchronous speech recording / dereverberation / denoising autoen- coder (DAE) / deep neural network (DNN) / environment adaptation / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 52, SP2014-16, pp. 153-157, May 2014.
Paper # SP2014-16 
Date of Issue 2014-05-17 (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 SP2014-16

Conference Information
Committee SP IPSJ-MUS  
Conference Date 2014-05-24 - 2014-05-25 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2014-05-SP-MUS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Distant-talking Speech Recognition with Asynchronous Speech Recording 
Sub Title (in English)  
Keyword(1) distant-talking speech recognition  
Keyword(2) asynchronous speech recording  
Keyword(3) dereverberation  
Keyword(4) denoising autoen- coder (DAE)  
Keyword(5) deep neural network (DNN)  
Keyword(6) environment adaptation  
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Keyword(8)  
1st Author's Name Shunta Teraoka  
1st Author's Affiliation Shizuoka University (Shizuoka Univ.)
2nd Author's Name Yuma Ueda  
2nd Author's Affiliation Shizuoka University (Shizuoka Univ.)
3rd Author's Name Longbiao Wang  
3rd Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech.)
4th Author's Name Atsuhiko Kai  
4th Author's Affiliation Shizuoka University (Shizuoka Univ.)
5th Author's Name Taku Fukushima  
5th Author's Affiliation Shizuoka University (Shizuoka Univ.)
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Speaker Author-2 
Date Time 2014-05-24 11:30:00 
Presentation Time 240 minutes 
Registration for SP 
Paper # SP2014-16 
Volume (vol) vol.114 
Number (no) no.52 
Page pp.153-157 
#Pages 5 
Date of Issue 2014-05-17 (SP) 

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