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Paper Abstract and Keywords
Presentation 2014-07-24 16:20
Investigation of Combining Multiple Language Modeling Techniques in Japanese Spontaneous Speech Recognition
Ryo Masumura, Taichi Asami, Takanobu Oba, Hirokazu Masataki, Sumitaka Sakauchi (NTT) SP2014-63
Abstract (in Japanese) (See Japanese page) 
(in English) Recent large vocabulary speech recognition systems consist of two statistical models, the acoustic and language models. In acoustic modeling, deep neural networks have realized a breakthrough and significant performance improvements have been achieved. On the other hand, in language modeling, there have not been any reports of comparable improvements. Although it is clear that recent practical language models have several problems such as ``locality'', ``task dependency'' and ``data sparseness'', we cannot obtain significant performance improvements by solving these problems separately. In this paper, we try to use various language modeling techniques simultaneously to cover the entire problem. Our investigation is conducted by dividing language modeling techniques into three viewpoints, ``one pass decoding'', ``unsupervised adaptation'' and ``rescoring''.Recent large vocabulary speech recognition systems consist of two statistical models, the acoustic and language models. In acoustic modeling, deep neural networks have realized a breakthrough and significant performance improvements have been achieved. On the other hand, in language modeling, there have not been any reports of comparable improvements. Although it is clear that recent practical language models have several problems such as ``locality'', ``task dependency'' and ``data sparseness'', we cannot obtain significant performance improvements by solving these problems separately. In this paper, we try to use various language modeling techniques simultaneously to cover the entire problem. Our investigation is conducted by dividing language modeling techniques into three viewpoints, ``one pass decoding'', ``unsupervised adaptation'' and ``rescoring''.
Keyword (in Japanese) (See Japanese page) 
(in English) language models / one pass decoding / unsupervised adaptation / rescoring / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 151, SP2014-63, pp. 1-6, July 2014.
Paper # SP2014-63 
Date of Issue 2014-07-17 (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 SP2014-63

Conference Information
Committee SP IPSJ-SLP  
Conference Date 2014-07-24 - 2014-07-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Hotel Hanamaki 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech recognition and understanding, dialog system, etc. 
Paper Information
Registration To SP 
Conference Code 2014-07-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Investigation of Combining Multiple Language Modeling Techniques in Japanese Spontaneous Speech Recognition 
Sub Title (in English)  
Keyword(1) language models  
Keyword(2) one pass decoding  
Keyword(3) unsupervised adaptation  
Keyword(4) rescoring  
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1st Author's Name Ryo Masumura  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Taichi Asami  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Takanobu Oba  
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 Sumitaka Sakauchi  
5th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2014-07-24 16:20:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # SP2014-63 
Volume (vol) vol.114 
Number (no) no.151 
Page pp.1-6 
#Pages 6 
Date of Issue 2014-07-17 (SP) 

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