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Paper Abstract and Keywords
Presentation 2022-06-18 13:00
Speech intelligibility prediction of simulated hearing loss sounds using the Gammachirp Envelope Similarity Index (GESI) -- Subjective data from laboratory and crowdsourced remote experiments --
Toshio Irino, Honoka Tamaru, Ayako Yamamoto (Wakayama Univ.) SP2022-17
Abstract (in Japanese) (See Japanese page) 
(in English) We aim at developing an objective intelligibility measure (OIM) to predict speech intelligibility (SI) for individual elderly hearing impaired (HI) listeners. We proposed a new OIM called Gammachirp Envelope Similarity Index (GESI) which consisted of the gammachirp filterbank (GCFB), a modulation filterbank (MFB), and an extended cosine similarity metric. The level difference between the reference and test sounds were took into account for the SI prediction unlike many conventional OIMs such as STOI and ESTOI. SI experiments were performed in laboratory and crowdsourced remote environments to clarify the effects of peripheral dysfunction. Noisy speech sounds were processed to simulate the average HL of 70- and 80-year-olds using Wadai Hearing Impairment Simulator (WHIS). They were presented together with the unprocessed sounds and -20,dB level reduced sounds. The results showed that the difference between the unprocessed and -20,dB was much greater in the remote experiments than in the laboratory ones although the same stimuli were used. GESI consistently predicted the results in the both experiments very well. STOI and ESTOI completely failed to predict the both results. HASPI failed to predict the remote results. GESI has the potential to explain the SI of individual HI listeners when setting the hearing level and controlling the parameters corresponding to the sound level above the threshold.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech intelligibility / Objective intelligibility measure / Hearing impairment simulator / Crowdsourced remote testing / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 81, SP2022-17, pp. 71-76, June 2022.
Paper # SP2022-17 
Date of Issue 2022-06-10 (SP) 
ISSN 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)
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Conference Information
Committee SP IPSJ-MUS IPSJ-SLP  
Conference Date 2022-06-17 - 2022-06-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2022-06-SP-MUS-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Speech intelligibility prediction of simulated hearing loss sounds using the Gammachirp Envelope Similarity Index (GESI) 
Sub Title (in English) Subjective data from laboratory and crowdsourced remote experiments 
Keyword(1) Speech intelligibility  
Keyword(2) Objective intelligibility measure  
Keyword(3) Hearing impairment simulator  
Keyword(4) Crowdsourced remote testing  
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1st Author's Name Toshio Irino  
1st Author's Affiliation Wakayama University (Wakayama Univ.)
2nd Author's Name Honoka Tamaru  
2nd Author's Affiliation Wakayama University (Wakayama Univ.)
3rd Author's Name Ayako Yamamoto  
3rd Author's Affiliation Wakayama University (Wakayama Univ.)
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Speaker Author-1 
Date Time 2022-06-18 13:00:00 
Presentation Time 120 minutes 
Registration for SP 
Paper # SP2022-17 
Volume (vol) vol.122 
Number (no) no.81 
Page pp.71-76 
#Pages
Date of Issue 2022-06-10 (SP) 


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