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Paper Abstract and Keywords
Presentation 2015-07-16 13:30
Acoustic data-driven pronunciation lexicon for non-native speech recognition
Satoshi Tsujioka (NAIST), Liang Lu (University of Edinburgh), Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura (NAIST) SP2015-36
Abstract (in Japanese) (See Japanese page) 
(in English) Nowadays, the English language is often used as a tool to facilitate communication at international meetings. Consequently, to apply automatic speech recognition (ASR) techniques for meeting dictation, the ASR system must have the capabilty to recognize utterances not only by native speakers but also by non-native speakers. However, the accuracy of non-native English ASR is still not satisfactory, and still has much room for improvement. To achieve this improvement, it is necessary to consider the acoustic model, pronunciation lexicon, language model, and decoding.
In this study, we focus on the pronunciation lexicon. Specifically, we propose a method that first uses a G2P (Grapheme-to-phoneme) tool to predict multiple candidate pronunciations for each word, then estimates the occurence frequency of pronunciation variations from the acoustic data of non-native speakers. In experiments, we find that the proposed method could cope with fluctuation and ambiguity of pronunciation, and it was able to achieve an improvement in recognition accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Non-native speech recognition / Lexical modeling / Probablistic pronunciation model / Japanese English / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 146, SP2015-36, pp. 1-6, July 2015.
Paper # SP2015-36 
Date of Issue 2015-07-09 (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 IPSJ-SLP  
Conference Date 2015-07-16 - 2015-07-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Katakura Suwako Hotel 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech recognition and understanding, dialog system, etc. 
Paper Information
Registration To SP 
Conference Code 2015-07-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acoustic data-driven pronunciation lexicon for non-native speech recognition 
Sub Title (in English)  
Keyword(1) Non-native speech recognition  
Keyword(2) Lexical modeling  
Keyword(3) Probablistic pronunciation model  
Keyword(4) Japanese English  
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1st Author's Name Satoshi Tsujioka  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Liang Lu  
2nd Author's Affiliation University of Edinburgh (University of Edinburgh)
3rd Author's Name Sakriani Sakti  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
4th Author's Name Graham Neubig  
4th Author's Affiliation Nara Institute of Science and Technology (NAIST)
5th Author's Name Tomoki Toda  
5th Author's Affiliation Nara Institute of Science and Technology (NAIST)
6th Author's Name Satoshi Nakamura  
6th Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2015-07-16 13:30:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # SP2015-36 
Volume (vol) vol.115 
Number (no) no.146 
Page pp.1-6 
#Pages 6 
Date of Issue 2015-07-09 (SP) 

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