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Paper Abstract and Keywords
Presentation 2023-10-14 17:05
Electrolaryngeal Speech Enhancement through Strong Linguistic Encoding Methods
Lester Phillip Violeta, Wen-Chin Huang, Ding Ma, Ryuichi Yamamoto, Kazuhiro Kobayashi, Tomoki Toda (Nagoya Univ.) SP2023-33 WIT2023-24
Abstract (in Japanese) (See Japanese page) 
(in English) Although pretraining and fine-tuning approaches have proven to work well in speech intelligibility enhancement, various mismatches, such as the speech type mismatch or speaker mismatches between the datasets used in each stage, can deteriorate the conversion performance of this framework. We propose a linguistic encoder robust enough to project both EL and typical speech in the same latent space, while still being able to extract accurate linguistic information, creating a unified representation to reduce the speech type mismatch. Furthermore, we introduce HuBERT output features to the proposed framework for reducing the speaker mismatch. Such a framework makes it possible to effectively use a large-scale parallel dataset during pretraining. We show that compared to the conventional framework using mel-spectrogram input and output features, using the proposed framework enables the model to synthesize more intelligible and naturally sounding speech, as shown by a significant 16% improvement in character error rate and 0.83 improvement in naturalness score.
Keyword (in Japanese) (See Japanese page) 
(in English) Intelligibility enhancement / Electrolaryngeal speech / Atypical speech / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 212, SP2023-33, pp. 33-38, Oct. 2023.
Paper # SP2023-33 
Date of Issue 2023-10-07 (SP, WIT) 
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 SP2023-33 WIT2023-24

Conference Information
Committee WIT SP IPSJ-SLP  
Conference Date 2023-10-14 - 2023-10-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech and Well-being Information Technology, etc. 
Paper Information
Registration To SP 
Conference Code 2023-10-WIT-SP-SLP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Electrolaryngeal Speech Enhancement through Strong Linguistic Encoding Methods 
Sub Title (in English)  
Keyword(1) Intelligibility enhancement  
Keyword(2) Electrolaryngeal speech  
Keyword(3) Atypical speech  
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1st Author's Name Lester Phillip Violeta  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Wen-Chin Huang  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Ding Ma  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Ryuichi Yamamoto  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Kazuhiro Kobayashi  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Tomoki Toda  
6th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2023-10-14 17:05:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2023-33, WIT2023-24 
Volume (vol) vol.123 
Number (no) no.212(SP), no.213(WIT) 
Page pp.33-38 
#Pages 6 
Date of Issue 2023-10-07 (SP, WIT) 

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