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Paper Abstract and Keywords
Presentation 2017-03-07 14:00
CTC network with explicit representation vector of Markov property
Yuta Kawachi, Taichi Asami, Yoshikazu Yamaguchi, Yushi Aono (NTT) IBISML2016-111
Abstract (in Japanese) (See Japanese page) 
(in English) Current neural acoustic models are incapable of utilizing language resources except speech transcriptions. So toward the realization of true neural end-to-end speech recognition, this property is problematic. In this paper, we present a method for general sequence classification task based on connectionist temporal classification with a structure keeping the previously output symbols and a matrix explicitly represents bigram properties. In our experiment, we defined a problem easily solved by using Markov properties of output sequences. Finally we could obtain interpretable neural network parameters and accuracy improvements from the baseline LSTM-CTC model.
Keyword (in Japanese) (See Japanese page) 
(in English) temporal classification / deep learning / CTC / end-to-end / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 500, IBISML2016-111, pp. 83-88, March 2017.
Paper # IBISML2016-111 
Date of Issue 2017-02-27 (IBISML) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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 IBISML  
Conference Date 2017-03-06 - 2017-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Statistical Mathematics, Machine Learning, Data Mining, etc. 
Paper Information
Registration To IBISML 
Conference Code 2017-03-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) CTC network with explicit representation vector of Markov property 
Sub Title (in English)  
Keyword(1) temporal classification  
Keyword(2) deep learning  
Keyword(3) CTC  
Keyword(4) end-to-end  
1st Author's Name Yuta Kawachi  
1st Author's Affiliation NTT MedNTT Corporationia Intelligence Laboratories (NTT)
2nd Author's Name Taichi Asami  
2nd Author's Affiliation NTT MedNTT Corporationia Intelligence Laboratories (NTT)
3rd Author's Name Yoshikazu Yamaguchi  
3rd Author's Affiliation NTT MediaNTT Corporation Intelligence Laboratories (NTT)
4th Author's Name Yushi Aono  
4th Author's Affiliation NTT Corporation (NTT)
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Speaker Author-1 
Date Time 2017-03-07 14:00:00 
Presentation Time 30 minutes 
Registration for IBISML 
Paper # IBISML2016-111 
Volume (vol) vol.116 
Number (no) no.500 
Page pp.83-88 
Date of Issue 2017-02-27 (IBISML) 

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