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Paper Abstract and Keywords
Presentation 2010-05-26 13:00
Improvement of speech recognition performance based on the conversion of Lombard features
Yuji Uemura, Masanori Morise, Takanobu Nishiura (Ritsumeikan Univ.) EA2010-1 SIP2010-1 SP2010-1
Abstract (in Japanese) (See Japanese page) 
(in English) The automatic speech recognition (ASR) under noisy environments is focused as one of the challenging topics. Especially, the talking-speech under noisy environment much distorts compared with neutral talking-speech under quiet one. This distortion is called Lombard effects, and ASR performance degrades by them. They should strongly occur, subject to no auditory feedback for speaker. In conventional research, their features tend to be ascent of power, ascent of fundamental frequency (F0), flat of spectral envelope and higher-frequency shift of the first order formant frequency (F1) and the second order formant frequency (F2). The ASR performance without any especially operations degrades by affecting such features. In order to analyze Lombard features, we recorded Lombard speech and constracted Lombard speech corpus. We discriminate between neutral speech and Lombard speech used by analyzed features. We conducted subjective evaluation and objective evaluation. As a result, we confirmed discrimination rate over $80$ \% both evaluations. In this paper, we propose the new approach based on the voice conversion towards neutral speech from Lombard speech. We carried out evaluation experiments. As a result of experiments, we confirmed the ASR performance increases to $10$ \% for female speech and $4$ \% for male one with proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Lombard effects / ASR / recognition performance / Lombard features / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 56, SP2010-1, pp. 1-6, May 2010.
Paper # SP2010-1 
Date of Issue 2010-05-19 (EA, SIP, SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 EA2010-1 SIP2010-1 SP2010-1

Conference Information
Committee SP EA SIP  
Conference Date 2010-05-26 - 2010-05-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Konan Univ. (Hirao Seminar House) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing,and Related Topics 
Paper Information
Registration To SP 
Conference Code 2010-05-SP-EA-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of speech recognition performance based on the conversion of Lombard features 
Sub Title (in English)  
Keyword(1) Lombard effects  
Keyword(2) ASR  
Keyword(3) recognition performance  
Keyword(4) Lombard features  
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1st Author's Name Yuji Uemura  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Masanori Morise  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Takanobu Nishiura  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Speaker Author-1 
Date Time 2010-05-26 13:00:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # EA2010-1, SIP2010-1, SP2010-1 
Volume (vol) vol.110 
Number (no) no.54(EA), no.55(SIP), no.56(SP) 
Page pp.1-6 
#Pages
Date of Issue 2010-05-19 (EA, SIP, SP) 


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