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Paper Abstract and Keywords
Presentation 2008-03-20 15:15
[Poster Presentation] Efficient Discriminative Training of Error Corrective Models Using High-WER Competitors
Takanobu Oba, Takaaki Hori, Atsushi Nakamura (NTT) SP2007-203
Abstract (in Japanese) (See Japanese page) 
(in English) We focus on error corrective models for speech recognition, which select a more accurate word sequence in a word N-best list produced by a speech recognizer. In general, an error corrective model is trained so that the correct word sequence is discriminated by the model from all the sequences in each N-best list. However, we show that a more accurate model can be provided through the discrimination of only two word sequences; one is the correct word sequence and the other is the sequence with the highest word error rate (WER) in the list. We think there are two reasons for this effect: (1) many important error patterns can be obtained since typical errors frequently appear in the word sequences with high WERs, and (2) training with fewer word sequences alleviates the difficulty of parameter estimation. In addition, the model size becomes more compact and the training time is significantly reduced with our method. Experiments using the Corpus of Spontaneous Japanese (CSJ) show that our proposed method generates accurate and compact models, and specifically performs robustly for different tasks and linguistic features.
Keyword (in Japanese) (See Japanese page) 
(in English) error corrective model / high-WER competitors / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 551, SP2007-203, pp. 99-104, March 2008.
Paper # SP2007-203 
Date of Issue 2008-03-13 (SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 2008-03-20 - 2008-03-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) International Workshop (Mar 20), Speech Production, Speech Perception, Hearing and Speech, etc. (Mar 21) 
Paper Information
Registration To SP 
Conference Code 2008-03-SP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Efficient Discriminative Training of Error Corrective Models Using High-WER Competitors 
Sub Title (in English)  
Keyword(1) error corrective model  
Keyword(2) high-WER competitors  
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1st Author's Name Takanobu Oba  
1st Author's Affiliation NTT Communication Science Labs, NTT Corporation (NTT)
2nd Author's Name Takaaki Hori  
2nd Author's Affiliation NTT Communication Science Labs, NTT Corporation (NTT)
3rd Author's Name Atsushi Nakamura  
3rd Author's Affiliation NTT Communication Science Labs, NTT Corporation (NTT)
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Date Time 2008-03-20 15:15:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # SP2007-203 
Volume (vol) vol.107 
Number (no) no.551 
Page pp.99-104 
#Pages
Date of Issue 2008-03-13 (SP) 


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