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| Presentation | 2019-10-27 10:30 A Method to Reduce Ambiguity in Identifying the Muscle Activation Time of Each EMG Channel in Isolated Inaudible Single Syllable Recognition Hidetoshi Nagai (KIT)  SP2019-32 WIT2019-31 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In inaudible speech recognition using surface EMG, consonant recognition is one of the difficult problems. When phonemes are spoken continuously, muscular activity of each phoneme affects each other, and the changing point between phonemes is not clear. Therefore, at first, we consider the freature extraction of isolated single syllable (one vowel, or one consonant + one vowel). For consonant recognition, it is important to identify the start of utterance with high accuracy. In general, a feature value representing muscular acitivity and a threshold are used to determine muscle activated time. However, the time detected by a fixed single threshold varies easily depending on the strength of the utterance. In this paper, we propose a method to reduce ambiguity in identifying the activation time of the muscle on each EMG channel. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | inaudible speech recognition / silent speech recognition / surface EMG / redundant wavelet analysis / center-of-balance of wavelet coefficients / type of wavelet coefficient set / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 251, WIT2019-31, pp. 87-92, Oct. 2019. | |
| Paper # | WIT2019-31 | |
| Date of Issue | 2019-10-19 (SP, WIT) | |
| ISSN | Print edition: ISSN 0913-5685 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 | SP2019-32 WIT2019-31 |
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| Conference Information | |
| Committee | WIT SP |
| Conference Date | 2019-10-26 - 2019-10-27 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Daiichi Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | WIT |
| Conference Code | 2019-10-WIT-SP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Method to Reduce Ambiguity in Identifying the Muscle Activation Time of Each EMG Channel in Isolated Inaudible Single Syllable Recognition |
| Sub Title (in English) | |
| Keyword(1) | inaudible speech recognition |
| Keyword(2) | silent speech recognition |
| Keyword(3) | surface EMG |
| Keyword(4) | redundant wavelet analysis |
| Keyword(5) | center-of-balance of wavelet coefficients |
| Keyword(6) | type of wavelet coefficient set |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Hidetoshi Nagai |
| 1st Author's Affiliation | Kyushu Institute of Technology (KIT) |
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| Speaker | Author-1 |
| Date Time | 2019-10-27 10:30:00 |
| Presentation Time | 20 minutes |
| Registration for | WIT |
| Paper # | SP2019-32, WIT2019-31 |
| Volume (vol) | vol.119 |
| Number (no) | no.250(SP), no.251(WIT) |
| Page | pp.87-92 |
| #Pages | 6 |
| Date of Issue | 2019-10-19 (SP, WIT) |
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