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| Presentation | 2020-12-14 10:05 Speech Signal Detection Based on Bayesian Estimation by Observing Air-Conducted Speech under Existence of Surrounding Noise with Aid of Bone-Conducted Speech Akira Ikuta, Hisako Orimoto (Prefectural Univ. of Hiroshima), Kouji Hasegawa (Hiroshima Prefectural Technology Research Inst.)  EA2020-48 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | When applying speech recognition systems to actual circumstances such as inspection and maintenance operations in industrial factories to recording and reporting routines at construction sites, etc. where hand-writing is difficult, some countermeasure methods for surrounding noise are indispensable. In this study, a signal detection method to remove the noise for actual speech signal is proposed by using Bayesian estimation with the aid of bone-conducted speech. More specifically, by introducing Bayes’ theorem based on the observation of air-conducted speech contaminated by surrounding background noise, a new type of algorithm for noise removal is theoretically derived. The effectiveness of the proposed method is experimentally confirmed by applying it to air- and bone-conducted speeches measured in real environments under the existence of surrounding background noises. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Speech Signal Detection / Bayesian Estimation / Air-conducted Speech / Bone-conducted Speech / Surrounding Noise / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 296, EA2020-48, pp. 13-18, Dec. 2020. | |
| Paper # | EA2020-48 | |
| Date of Issue | 2020-12-07 (EA) | |
| 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 | EA2020-48 |
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| Conference Information | |
| Committee | EA |
| Conference Date | 2020-12-14 - 2020-12-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Engineering/Electro Acoustics, and Related Topics |
| Paper Information | |
| Registration To | EA |
| Conference Code | 2020-12-EA |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Speech Signal Detection Based on Bayesian Estimation by Observing Air-Conducted Speech under Existence of Surrounding Noise with Aid of Bone-Conducted Speech |
| Sub Title (in English) | |
| Keyword(1) | Speech Signal Detection |
| Keyword(2) | Bayesian Estimation |
| Keyword(3) | Air-conducted Speech |
| Keyword(4) | Bone-conducted Speech |
| Keyword(5) | Surrounding Noise |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Akira Ikuta |
| 1st Author's Affiliation | Prefectural University of Hiroshima (Prefectural Univ. of Hiroshima) |
| 2nd Author's Name | Hisako Orimoto |
| 2nd Author's Affiliation | Prefectural University of Hiroshima (Prefectural Univ. of Hiroshima) |
| 3rd Author's Name | Kouji Hasegawa |
| 3rd Author's Affiliation | Hiroshima Prefectural Technology Research Institute (Hiroshima Prefectural Technology Research Inst.) |
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| Speaker | Author-1 |
| Date Time | 2020-12-14 10:05:00 |
| Presentation Time | 25 minutes |
| Registration for | EA |
| Paper # | EA2020-48 |
| Volume (vol) | vol.120 |
| Number (no) | no.296 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2020-12-07 (EA) |
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