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Paper Abstract and Keywords
Presentation 2016-10-27 16:00
Word modeling for end-to-end Japanese speech recognition
Hitoshi Ito, Aiko Hagiwara, Manon Ichiki, Takeshi Mishima, Shoei Sato (NHK), Akio Kobayashi (NES) SP2016-47
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a novel modeling for end-to-end Japanese speech recognition using Deep Neural Networks(DNN). When we deal with kanji as output layer of DNN, different acoustic features are mapped to the same output labels. This problem is caused by that kanji has multiple readings into a single character, such as On-yomi and Kun-yomi. To resolve the problem, We added words to output layer of DNN, instead of characters.
The words are selected on the basis of the appearance frequency and the rarity of reading in learning data. Our experimental result shows the effectiveness of suppressing a drop of word accuracy in small learning data.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep neural networks / Connectionist temporal classification / End-to-end / Acoustic model / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 279, SP2016-47, pp. 31-36, Oct. 2016.
Paper # SP2016-47 
Date of Issue 2016-10-20 (SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 2016-10-27 - 2016-10-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Shizuoka University. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Learning, Recognition, Synthesis, Dialogue, etc. 
Paper Information
Registration To SP 
Conference Code 2016-10-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Word modeling for end-to-end Japanese speech recognition 
Sub Title (in English)  
Keyword(1) Deep neural networks  
Keyword(2) Connectionist temporal classification  
Keyword(3) End-to-end  
Keyword(4) Acoustic model  
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1st Author's Name Hitoshi Ito  
1st Author's Affiliation Japan Broadcasting Corporation (NHK)
2nd Author's Name Aiko Hagiwara  
2nd Author's Affiliation Japan Broadcasting Corporation (NHK)
3rd Author's Name Manon Ichiki  
3rd Author's Affiliation Japan Broadcasting Corporation (NHK)
4th Author's Name Takeshi Mishima  
4th Author's Affiliation Japan Broadcasting Corporation (NHK)
5th Author's Name Shoei Sato  
5th Author's Affiliation Japan Broadcasting Corporation (NHK)
6th Author's Name Akio Kobayashi  
6th Author's Affiliation NHK Engineering System (NES)
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Speaker Author-1 
Date Time 2016-10-27 16:00:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2016-47 
Volume (vol) vol.116 
Number (no) no.279 
Page pp.31-36 
#Pages
Date of Issue 2016-10-20 (SP) 


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