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Paper Abstract and Keywords
Presentation 2008-07-17 13:30
Robust Front End Processing for Speech Recognition in Reverberant Environments: Utilization of Speech Properties
Rico Petric (Dresden Univ. of Tech), Xugang Lu, Masashi Unoki, Masato Akagi (JAIST), Ruediger Hoffmann (Dresden Univ. of Tech) SP2008-44
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes two methods of robust automatic speech recognition (ASR) in reverberant environments. Unlike other methods that mostly apply inverse filtering by blindly estimated room impulse responses to achieve dereverberation, the proposed methods are based on the utilization of speech properties. The first method -- Harmonicity-based Feature Analysis -- takes advantage of the harmonic components of speech, which are assumed to be undistorted. The second method -- Temporal Power Envelope Feature Analysis -- utilizes the temporal modulation structure of speech, containing most intelligibility information. Both methods increase recognition remarkably in different ways. Combining them connects their individual advantages. To evaluate the effectiveness of utilizing harmonicity and the modulation temporal structure for reverberant ASR, the methods were tested using clean and reverberant training. As the results revealed, even under strong reverberant conditions both methods obtained practical recognition rate for reverberant training. In addition, to test their dependency on the reverberation time, the speaker-to-microphone distance was tested, which is also one of the main contributions in this paper.
Keyword (in Japanese) (See Japanese page) 
(in English) reverberation / robust ASR / harmonicity based feature analysis / temporal power envelope feature analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 142, SP2008-44, pp. 7-12, July 2008.
Paper # SP2008-44 
Date of Issue 2008-07-10 (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)
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Conference Information
Committee SP  
Conference Date 2008-07-17 - 2008-07-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Iwate Prefectural Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech Recognition, Speech Understanding, Speech Dialogue, etc. 
Paper Information
Registration To SP 
Conference Code 2008-07-SP 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Robust Front End Processing for Speech Recognition in Reverberant Environments: Utilization of Speech Properties 
Sub Title (in English)  
Keyword(1) reverberation  
Keyword(2) robust ASR  
Keyword(3) harmonicity based feature analysis  
Keyword(4) temporal power envelope feature analysis  
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1st Author's Name Rico Petric  
1st Author's Affiliation Dresden Univercity of Technology (Dresden Univ. of Tech)
2nd Author's Name Xugang Lu  
2nd Author's Affiliation Japan Advanced Institute of Sicence and Technology (JAIST)
3rd Author's Name Masashi Unoki  
3rd Author's Affiliation Japan Advanced Institute of Sicence and Technology (JAIST)
4th Author's Name Masato Akagi  
4th Author's Affiliation Japan Advanced Institute of Sicence and Technology (JAIST)
5th Author's Name Ruediger Hoffmann  
5th Author's Affiliation Dresden Univercity of Technology (Dresden Univ. of Tech)
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Speaker Author-3 
Date Time 2008-07-17 13:30:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # SP2008-44 
Volume (vol) vol.108 
Number (no) no.142 
Page pp.7-12 
#Pages 6 
Date of Issue 2008-07-10 (SP) 

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