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Paper Abstract and Keywords
Presentation 2018-12-10 13:15
[Invited Talk] Review of Automatic Speech Recognition Methodology -- Outlook of Acoustic-to-Word Model --
Tatsuya Kawahara (Kyoto Univ.) SP2018-48
Abstract (in Japanese) (See Japanese page) 
(in English) The methodology of speech recognition has been changing due to the introduction of deep learning, in particular end-to-end modeling. This article gives a brief overview of the conventional methodologies leading to the end-to-end models. Word-based end-to-end model, referred to as acoustic-to-word model, directly converts a sequence of acoustic features into a word sequence. This model contains acoustic and language models, and does not require a pronunciation lexicon and a complex decoding program. The problems of this new promising model and current solutions are also described.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech Recognition / End-to-End Model / Acoustic-to-Word Model / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 354, SP2018-48, pp. 25-30, Dec. 2018.
Paper # SP2018-48 
Date of Issue 2018-12-03 (SP) 
ISSN 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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
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Conference Information
Conference Date 2018-12-10 - 2018-12-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. Nishiwaseda Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 5th Natural Language Processing Symposium & The 20th Spoken Language Symposium 
Paper Information
Registration To SP 
Conference Code 2018-12-NLC-NL-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Review of Automatic Speech Recognition Methodology 
Sub Title (in English) Outlook of Acoustic-to-Word Model 
Keyword(1) Speech Recognition  
Keyword(2) End-to-End Model  
Keyword(3) Acoustic-to-Word Model  
1st Author's Name Tatsuya Kawahara  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2018-12-10 13:15:00 
Presentation Time 60 minutes 
Registration for SP 
Paper # SP2018-48 
Volume (vol) vol.118 
Number (no) no.354 
Page pp.25-30 
Date of Issue 2018-12-03 (SP) 

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