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Paper Abstract and Keywords
Presentation 2023-03-17 14:15
An Effect of Data Augmentation using 3D Models in Machine Lipreading on the Recognition Accuracy
Kazuma Kimura, Kenko Ota (NIT) MICT2022-59
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we investigate the use of a three-dimensional model of a speaker's face as a data augmentation method for machine learning lip reading, which estimates the content of speech based only on oral information. In our previous research, recognition was performed on a word-by-word basis, but we also introduce a method for recognition on a phoneme-by-phoneme basis, similar to normal continuous speech recognition. As a result of the evaluation, we achieved an error rate of 0.2842 for the data in which the speaker of the evaluation data was included in the speaker of the training data and was not converted to a three-dimensional model. The error rate of 0.3290 was also achieved for data where the speaker of the evaluation data was not included in the speaker of the training data and was not converted to a three-dimensional model. In the future, it will be necessary to increase the amount of data with sentences in order to improve the versatility of speech recognition
Keyword (in Japanese) (See Japanese page) 
(in English) Lipreading / 3D Models / Phoneme / Data augmentation / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 447, MICT2022-59, pp. 17-21, March 2023.
Paper # MICT2022-59 
Date of Issue 2023-03-10 (MICT) 
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)
Download PDF MICT2022-59

Conference Information
Committee EMCJ MICT  
Conference Date 2023-03-17 - 2023-03-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Healthcare and Medical Information Communication Technologies, EMC, etc 
Paper Information
Registration To MICT 
Conference Code 2023-03-EMCJ-MICT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Effect of Data Augmentation using 3D Models in Machine Lipreading on the Recognition Accuracy 
Sub Title (in English)  
Keyword(1) Lipreading  
Keyword(2) 3D Models  
Keyword(3) Phoneme  
Keyword(4) Data augmentation  
1st Author's Name Kazuma Kimura  
1st Author's Affiliation Nippon Institute of Technology (NIT)
2nd Author's Name Kenko Ota  
2nd Author's Affiliation Nippon Institute of Technology (NIT)
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Date Time 2023-03-17 14:15:00 
Presentation Time 25 minutes 
Registration for MICT 
Paper # MICT2022-59 
Volume (vol) vol.122 
Number (no) no.447 
Page pp.17-21 
Date of Issue 2023-03-10 (MICT) 

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