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Paper Abstract and Keywords
Presentation 2016-08-09 13:30
Improvement to an Objective Binaural Intelligibility Prediction Method
Kazuya Taira, Kazuhiro Kondo (Yamagata Univ.) EA2016-21
Abstract (in Japanese) (See Japanese page) 
(in English) We attempted to improve the binaural intelligibility estimation method proposed in our previous paper. The number of data in the lower subjective intelligibility range which had been missing was supplemented performing additional evaluation for a more uniformly distributed data. Also, we tried four feature value extraction methods, such as the Band-Selection Better Ear Model. Furthermore, we tried estimation using machine learning in addition to regression analysis which we applied previously. Neural network, support vector machine and random forest were used here. Estimation using random forest showed significantly higher estimation accuracy compared to other previous results, with RMSE of 0.1 or less, and correlation of 0.9 or more in closed tests. Estimation using random forest also yielded a higher accuracy than that of logistic regression analysis in open test, in which the accuracy was shown to decrease significantly in previous tests.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech Intelligibility / Intelligibility Estimation / Binaural Hearing / Japanese Diagnostic Rhyme Test / Logistic Regression Analysis / Machine Learning / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 179, EA2016-21, pp. 7-12, Aug. 2016.
Paper # EA2016-21 
Date of Issue 2016-08-02 (EA) 
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 EA2016-21

Conference Information
Committee EA ASJ-H  
Conference Date 2016-08-09 - 2016-08-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku Gakuin Univ., Tagajo Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Ultra-Realistic Acoustics, Engineering/Electro Acoustics, Psychological and Physiological Acoustics, and Related Topics 
Paper Information
Registration To EA 
Conference Code 2016-08-EA-H 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement to an Objective Binaural Intelligibility Prediction Method 
Sub Title (in English)  
Keyword(1) Speech Intelligibility  
Keyword(2) Intelligibility Estimation  
Keyword(3) Binaural Hearing  
Keyword(4) Japanese Diagnostic Rhyme Test  
Keyword(5) Logistic Regression Analysis  
Keyword(6) Machine Learning  
Keyword(7)  
Keyword(8)  
1st Author's Name Kazuya Taira  
1st Author's Affiliation Yamagata University (Yamagata Univ.)
2nd Author's Name Kazuhiro Kondo  
2nd Author's Affiliation Yamagata University (Yamagata Univ.)
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Speaker Author-1 
Date Time 2016-08-09 13:30:00 
Presentation Time 30 minutes 
Registration for EA 
Paper # EA2016-21 
Volume (vol) vol.116 
Number (no) no.179 
Page pp.7-12 
#Pages 6 
Date of Issue 2016-08-02 (EA) 

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