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Paper Abstract and Keywords
Presentation 2014-12-12 15:40
[Poster Presentation] Study on signal to noise ratio estimation based on optimal design of subband voice activity detection
Shota Morita (JAIST), Xugang Lu (NICT), Masashi Unoki (JAIST) EA2014-46
Abstract (in Japanese) (See Japanese page) 
(in English) Estimation of signal to noise ratio (SNR) of speech plays an important role of noise reduction and speech intelligibility prediction based on the speech transmission index (STI). During estimation of SNR, voice activity detection (VAD) techniques must be used explicitly or implicitly to detect speech and non-speech sections. In most studies, the decision of threshold is fixed for VAD to speech and non-speech classification during SNR estimation. We argue that fixing the decision of threshold for all testing conditions is not optimal in controlling the false acceptance and miss detection rates of speech. In this study, we proposed SNR estimation using a speech and non-speech detection algorithm based on optimizing the trade-off between speech false acceptance and miss detection rates on a receiver operating characteristic (ROC) curve. Rather than fixing decision threshold in VAD for all SNR conditions, we optimally estimate the decision threshold using an ROC curve for each SNR condition. Thresholds are optimized in subband signals on a large training data set composed of various of SNR conditions and noise types. After making the speech and non-speech detection, the SNR is estimated by summarizing the subband powers of speech and noise from all subbands. Experimental results show that the proposed method has higher accuracy than the classical SNR estimation.
Keyword (in Japanese) (See Japanese page) 
(in English) SNR estimation / voice activity detection / optimization of threshold / subband processing / Threshold-SNR curve / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 358, EA2014-46, pp. 37-42, Dec. 2014.
Paper # EA2014-46 
Date of Issue 2014-12-05 (EA) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 EA2014-46

Conference Information
Committee EA  
Conference Date 2014-12-12 - 2014-12-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Satellite Plaza of Kanazawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General topics 
Paper Information
Registration To EA 
Conference Code 2014-12-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on signal to noise ratio estimation based on optimal design of subband voice activity detection 
Sub Title (in English)  
Keyword(1) SNR estimation  
Keyword(2) voice activity detection  
Keyword(3) optimization of threshold  
Keyword(4) subband processing  
Keyword(5) Threshold-SNR curve  
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1st Author's Name Shota Morita  
1st Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
2nd Author's Name Xugang Lu  
2nd Author's Affiliation National Institute of Information and Communications Technology (NICT)
3rd Author's Name Masashi Unoki  
3rd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
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Date Time 2014-12-12 15:40:00 
Presentation Time 80 minutes 
Registration for EA 
Paper # EA2014-46 
Volume (vol) vol.114 
Number (no) no.358 
Page pp.37-42 
#Pages
Date of Issue 2014-12-05 (EA) 


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