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Paper Abstract and Keywords
Presentation 2025-12-18 13:00
[Poster Presentation] Improving Recognition Accuracy of Throat-Microphone Speech Using Bayesian Estimation
Nozomi Tamoto, Hisako Orimoto (Pref. Univ. of Hiroshima) EA2025-62
Abstract (in Japanese) (See Japanese page) 
(in English) With recent advances in speech measurement technology, varias types of microphones, such as bone-conduction and throat microphones, have been developed, in addition to air-conduction microphones.
Air-conduction microphones measure both the target speech and surrounding noise, the problem that the target speech is buried in the noise. On the other hand, throat microphones are robust against surrounding noise, but there are issues that contain a lot of internal noise. Therefore, in this study, we propose a method to remove noise from speech signals measured by a throat microphone and to estimate more accurate speech signals based on Bayes' theorem. Specifically, the relationship between the target speech signal and the throat sounds is represented by a nonlinear system model containing unknown parameters. Using Bayes' theorem, the proposed model estimates the noise-reduced speech signal. To verify the effectiveness of the proposed method, experiments were conducted using actual measurement data to confirm the improvement of speech recognition accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Air-conducted speech signal / Pharyngeal speech signal / Bayes' theorem / Throat-microphone / Speech recognition / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 300, EA2025-62, pp. 13-18, Dec. 2025.
Paper # EA2025-62 
Date of Issue 2025-12-11 (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 EA2025-62

Conference Information
Committee EA US  
Conference Date 2025-12-18 - 2025-12-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) [Joint Meeting on Acoustics and Ultrasonics Subsociety] Engineering/Electro Acoustics, Ultrasonics, etc. 
Paper Information
Registration To EA 
Conference Code 2025-12-EA-US 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improving Recognition Accuracy of Throat-Microphone Speech Using Bayesian Estimation 
Sub Title (in English)  
Keyword(1) Air-conducted speech signal  
Keyword(2) Pharyngeal speech signal  
Keyword(3) Bayes' theorem  
Keyword(4) Throat-microphone  
Keyword(5) Speech recognition  
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Keyword(7)  
Keyword(8)  
1st Author's Name Nozomi Tamoto  
1st Author's Affiliation Prefectural University of Hiroshima (Pref. Univ. of Hiroshima)
2nd Author's Name Hisako Orimoto  
2nd Author's Affiliation Prefectural University of Hiroshima (Pref. Univ. of Hiroshima)
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Speaker Author-1 
Date Time 2025-12-18 13:00:00 
Presentation Time 90 minutes 
Registration for EA 
Paper # EA2025-62 
Volume (vol) vol.125 
Number (no) no.300 
Page pp.13-18 
#Pages 6 
Date of Issue 2025-12-11 (EA) 

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