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Paper Abstract and Keywords
Presentation 2011-10-06 11:30
Language Modeling for Automatic Speech Recognition of Lectures in Elementary and Secondary Education
Hiroaki Nanjo, Ippei Hisaki, Yuki Wada (Ryukoku Univ.) SP2011-54 WIT2011-36
Abstract (in Japanese) (See Japanese page) 
(in English) Automatic speech recognition (ASR) of lectures on elementary and
secondary education is addressed. Most of conventional studies of
lecture speech recognition target on lectures in universities
or oral presentations in technical conferences, in which
lecturers make their speech for adult audiences. On the
contrary, in elementary school or junior high-school, lecture
audience is immature people. Lecturers (teachers) often make
utterances in a different way from talks to adult audiences.
Specifically, teachers try to select easy words and phrases, some
of which are only for kids.
For ASR of elementary school lectures, a language model which
covers such linguistic phenomena is required. In this paper,
suitable vocabulary and language model for elementary school
lectures are discussed.
Word 3-gram language model trained with texts for adults (Corpus
of spontaneous Japanese and one-year newspaper articles) cannot
cover a half of 3-grams (about 3000 kinds) appeared in 13 lectures
in school. We got higher adjusted testset perplexity about 343.
Word 3-gram language model trained with small texts for kids
(1.2M words from kids-oriented web sites), we can cover one-third
of 3-grams, which are not modeled in the language model for adult.
We confirmed that it is significant to collect text corpora for
ASR of elementary school lectures.
Keyword (in Japanese) (See Japanese page) 
(in English) Lecture Speech Recognition / Information Support / Elementary and Secondary Education / Language Model / Speaking Style / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 225, SP2011-54, pp. 13-18, Oct. 2011.
Paper # SP2011-54 
Date of Issue 2011-09-29 (SP, WIT) 
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 WIT SP  
Conference Date 2011-10-06 - 2011-10-07 
Place (in Japanese) (See Japanese page) 
Place (in English) TFT Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Welfare and speech processing, etc. 
Paper Information
Registration To SP 
Conference Code 2011-10-WIT-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Language Modeling for Automatic Speech Recognition of Lectures in Elementary and Secondary Education 
Sub Title (in English)  
Keyword(1) Lecture Speech Recognition  
Keyword(2) Information Support  
Keyword(3) Elementary and Secondary Education  
Keyword(4) Language Model  
Keyword(5) Speaking Style  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Hiroaki Nanjo  
1st Author's Affiliation Ryukoku University (Ryukoku Univ.)
2nd Author's Name Ippei Hisaki  
2nd Author's Affiliation Ryukoku University (Ryukoku Univ.)
3rd Author's Name Yuki Wada  
3rd Author's Affiliation Ryukoku University (Ryukoku Univ.)
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Speaker Author-1 
Date Time 2011-10-06 11:30:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # SP2011-54, WIT2011-36 
Volume (vol) vol.111 
Number (no) no.225(SP), no.226(WIT) 
Page pp.13-18 
#Pages
Date of Issue 2011-09-29 (SP, WIT) 


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