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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 |
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| 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 | |
| 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) | |
| Download PDF | MICT2022-59 |
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| 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 |
| Keyword(5) | |
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| 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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| Speaker | Author-1 |
| 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 |
| #Pages | 5 |
| Date of Issue | 2023-03-10 (MICT) |
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