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Paper Abstract and Keywords
Presentation 2023-12-03 11:05
[Poster Presentation] Enhancing Dysarthric Speech Recognition with Auxiliary Feature Fusion Module: Exploring Articulatory-related Features from Foundation Models
Yuqin Lin, Longbiao Wang, Jianwu Dang (Tianjin Univ. & Univ. of Tokyo), Nobuaki Minematsu (Univ. of Tokyo) NLC2023-19 SP2023-39
Abstract (in Japanese) (See Japanese page) 
(in English) Addressing dysarthric speech variability in Automatic Speech Recognition (ASR) is crucial for improving human-computer interactions for everyone. This paper proposes the Auxiliary Features Fusion (AFFusion) module, which leverages phonetic and articulatory-related features from models like wav2vec to compensate for distorted acoustics in dysarthric ASR. Experimental results using AFFusion with various feature models demonstrate its effectiveness on dysarthric databases. Interestingly, the analysis suggests that AFFusion shares similarities with human speech perception processes, offering potential insights into addressing fuzzy recognition in dysarthric ASR based on the motor theory of speech perception.
Keyword (in Japanese) (See Japanese page) 
(in English) Automatic speech recognition / dysarthric speech / features from foundation models / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 292, SP2023-39, pp. 31-36, Dec. 2023.
Paper # SP2023-39 
Date of Issue 2023-11-25 (NLC, 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 NLC2023-19 SP2023-39

Conference Information
Committee SP NLC IPSJ-SLP IPSJ-NL  
Conference Date 2023-12-02 - 2023-12-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2023-12-SP-NLC-SLP-NL 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Enhancing Dysarthric Speech Recognition with Auxiliary Feature Fusion Module: Exploring Articulatory-related Features from Foundation Models 
Sub Title (in English)  
Keyword(1) Automatic speech recognition  
Keyword(2) dysarthric speech  
Keyword(3) features from foundation models  
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1st Author's Name Yuqin Lin  
1st Author's Affiliation Tianjin University (Tianjin Univ. & Univ. of Tokyo)
2nd Author's Name Longbiao Wang  
2nd Author's Affiliation Tianjin University (Tianjin Univ. & Univ. of Tokyo)
3rd Author's Name Jianwu Dang  
3rd Author's Affiliation Tianjin University (Tianjin Univ. & Univ. of Tokyo)
4th Author's Name Nobuaki Minematsu  
4th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
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Speaker Author-1 
Date Time 2023-12-03 11:05:00 
Presentation Time 55 minutes 
Registration for SP 
Paper # NLC2023-19, SP2023-39 
Volume (vol) vol.123 
Number (no) no.291(NLC), no.292(SP) 
Page pp.31-36 
#Pages 6 
Date of Issue 2023-11-25 (NLC, SP) 

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