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Paper Abstract and Keywords
Presentation 2007-06-28 14:00
An integration method of plural subword models for spoken document retrieval -- Utilization of retrieval performance expectation of a query among subword model --
Yoshiaki Itoh, Kohei Iwata, Kazunori Kojima, Masaaki Ishigame (Iwate Pref. Univ), Kazuyo Tanaka (Univ. of Tsukuba), Shi-wook Lee (AIST) SP2007-10
Abstract (in Japanese) (See Japanese page) 
(in English) According to the spread of personal computers and video hard-disc recorders, a new function to retrieve spoken documents easily is needed. For this purpose of retrieving stored spoken documents by any query words, we have been developing a vocabulary-free spoken document retrieval system based on subword models. We have already proposed new subword models and an acoustic distance between the subword models, and have demonstrated the effectiveness of those approaches in our previous work. For subword models, we introduced not only monophone and triphone models that are general models for speech recognition technology, but also new subword models that are more sophisticated models than triphone models in the time axis, such as a half-phone model, one-third phone model, and Sub-Phonetic Segment (SPS). This paper investigates the method to integrate the results obtained from plural subword models, and proposes an introduction of a retrieval performance expectation for each query word, because the retrieval performance differ from subword models against each query word. Through experiments for spoken document retrieval using Corpus of Spontaneous Japanese, we could confirm the improvement of the retrieval performance by integrating the plural results and introducing the retrieval performance expectation for each query word.
Keyword (in Japanese) (See Japanese page) 
(in English) Spoken document retrieval / Subword model / Integration of plural results / Retrieval performance expectation / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 116, SP2007-10, pp. 13-18, June 2007.
Paper # SP2007-10 
Date of Issue 2007-06-21 (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 2007-06-28 - 2007-06-29 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Aizu 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech Recognition, Speech Understanding, Speech Dialogue, etc. 
Paper Information
Registration To SP 
Conference Code 2007-06-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An integration method of plural subword models for spoken document retrieval 
Sub Title (in English) Utilization of retrieval performance expectation of a query among subword model 
Keyword(1) Spoken document retrieval  
Keyword(2) Subword model  
Keyword(3) Integration of plural results  
Keyword(4) Retrieval performance expectation  
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1st Author's Name Yoshiaki Itoh  
1st Author's Affiliation Iwate Prefectural University (Iwate Pref. Univ)
2nd Author's Name Kohei Iwata  
2nd Author's Affiliation Iwate Prefectural University (Iwate Pref. Univ)
3rd Author's Name Kazunori Kojima  
3rd Author's Affiliation Iwate Prefectural University (Iwate Pref. Univ)
4th Author's Name Masaaki Ishigame  
4th Author's Affiliation Iwate Prefectural University (Iwate Pref. Univ)
5th Author's Name Kazuyo Tanaka  
5th Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
6th Author's Name Shi-wook Lee  
6th Author's Affiliation AIST (AIST)
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Speaker Author-1 
Date Time 2007-06-28 14:00:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # SP2007-10 
Volume (vol) vol.107 
Number (no) no.116 
Page pp.13-18 
#Pages 6 
Date of Issue 2007-06-21 (SP) 

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