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Paper Abstract and Keywords
Presentation 2012-12-20 10:20
Automatic Vocabulary Adaptation for Speech Recognition based on Semantic Similarity and Confidence Measure
Shoko Yamahata, Yoshikazu Yamaguchi, Atsunori Ogawa, Hirokazu Masataki, Osamu Yoshioka, Satoshi Takahashi (NTT) SP2012-85
Abstract (in Japanese) (See Japanese page) 
(in English) Out-Of-Vocabulary utterances are an unavoidable problem in speech recognition systems. And therefore, automatic vocabulary adaptation methods, which detect OOV words from relevant documents and register them with proper probability is an important technique. To improve recognition accuracy of OOV words, our method selects only relevant OOV words with target spoken documents, and prevents recognition error caused by irrelevant OOV words. We use semantic and acoustic similarity between each OOV word and spoken documents to select relevant OOV words. Furthermore, we propose proper probability estimation method for each OOV word using class language models and semantic similarity. Experimental shows that our method improves OOV word selection accuracy, and OOV word recognition accuracy about 5% in F-measure.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech Recognition / Out-Of-Vocabulary / Vocabulary Adaptation / Semantic Similarity / Confidence Measure / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 369, SP2012-85, pp. 1-6, Dec. 2012.
Paper # SP2012-85 
Date of Issue 2012-12-13 (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 SP2012-85

Conference Information
Committee SP IPSJ-SLP  
Conference Date 2012-12-20 - 2012-12-21 
Place (in Japanese) (See Japanese page) 
Place (in English) TITECH(Ookayama) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) 14th Symposium on Spoken Language 
Paper Information
Registration To SP 
Conference Code 2012-12-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic Vocabulary Adaptation for Speech Recognition based on Semantic Similarity and Confidence Measure 
Sub Title (in English)  
Keyword(1) Speech Recognition  
Keyword(2) Out-Of-Vocabulary  
Keyword(3) Vocabulary Adaptation  
Keyword(4) Semantic Similarity  
Keyword(5) Confidence Measure  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Shoko Yamahata  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Yoshikazu Yamaguchi  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Atsunori Ogawa  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Hirokazu Masataki  
4th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
5th Author's Name Osamu Yoshioka  
5th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
6th Author's Name Satoshi Takahashi  
6th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2012-12-20 10:20:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2012-85 
Volume (vol) vol.112 
Number (no) no.369 
Page pp.1-6 
#Pages 6 
Date of Issue 2012-12-13 (SP) 

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