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Paper Abstract and Keywords
Presentation 2024-03-01 15:25
Investigation of objective intelligibility metrics based on speech foundation models for Clarity Prediction Challenge 2
Katsuhiko Yamamoto (CyberAgent) EA2023-119 SIP2023-166 SP2023-101
Abstract (in Japanese) (See Japanese page) 
(in English) Speech Foundation Models (SFMs), which use components like the encoder layer of Whisper, have been suggested to separate speech signals from noise. In the Clarity Prediction Challenge 2 (CPC2), a competition for predicting the speech intelligibility (SI) of individuals with hearing loss, an SFM-based Objective Intelligibility Metric (SFM-OIM) that does not use reference signals took first place. The SFM-OIM is a method that extends the network structure of Whisper-AT, proposed for environmental sound classification for SI prediction of hearing-impaired listeners. This report presents the reproduction implementation and reproducibility evaluation experiments of SFM-OIM using the features extracted from Whisper with the CPC2 dataset. It also discusses the results when changing the Whisper model and batch size.
Keyword (in Japanese) (See Japanese page) 
(in English) speech intelligibility / objective intelligibility metrics / speech foundation models / Whisper / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 401, EA2023-119, pp. 334-339, Feb. 2024.
Paper # EA2023-119 
Date of Issue 2024-02-22 (EA, SIP, SP) 
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 EA2023-119 SIP2023-166 SP2023-101

Conference Information
Committee SIP SP EA IPSJ-SLP  
Conference Date 2024-02-29 - 2024-03-01 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EA 
Conference Code 2024-02-SIP-SP-EA-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Investigation of objective intelligibility metrics based on speech foundation models for Clarity Prediction Challenge 2 
Sub Title (in English)  
Keyword(1) speech intelligibility  
Keyword(2) objective intelligibility metrics  
Keyword(3) speech foundation models  
Keyword(4) Whisper  
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1st Author's Name Katsuhiko Yamamoto  
1st Author's Affiliation CyberAgent, Inc. (CyberAgent)
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Speaker Author-1 
Date Time 2024-03-01 15:25:00 
Presentation Time 60 minutes 
Registration for EA 
Paper # EA2023-119, SIP2023-166, SP2023-101 
Volume (vol) vol.123 
Number (no) no.401(EA), no.402(SIP), no.403(SP) 
Page pp.334-339 
#Pages 6 
Date of Issue 2024-02-22 (EA, SIP, SP) 

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