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Paper Abstract and Keywords
Presentation 2026-06-06 13:00
A Preliminary Investigation of Diverse Big Five Personality-Based Speech Synthesis Using Mixture Density Networks
Souma Narikawa, Tomoaki Mizuno, Toru Nakashika (UEC) SP2026-27
Abstract (in Japanese) (See Japanese page) 
(in English) Personality-related impressions can be perceived from human voices. While many studies have investigated the estimation of personality traits from speech, few have addressed the artificial generation of speech that reflects personality traits. In this study, we constructed a speech synthesis model using Mixture Density Networks (MDNs) to realize controllable speech based on the five personality factors of the Big Five theory. We then clarified the relationship between personality traits and synthetic speech representations through statistical analyses of the model's internal representations and generated speech. The results suggest that each personality trait is reflected in the latent distribution with different degrees of strength, and that speech corresponding to each personality trait may be generated.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Speech Synthesis / Big Five / Human-Computer Interaction / Personality Computing / Acoustic Analysis / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 58, SP2026-27, pp. 148-153, June 2026.
Paper # SP2026-27 
Date of Issue 2026-05-29 (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 SP2026-27

Conference Information
Committee SP IPSJ-SLP IPSJ-MUS  
Conference Date 2026-06-05 - 2026-06-06 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Electro-Communications 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2026-06-SP-SLP-MUS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Preliminary Investigation of Diverse Big Five Personality-Based Speech Synthesis Using Mixture Density Networks 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Speech Synthesis  
Keyword(3) Big Five  
Keyword(4) Human-Computer Interaction  
Keyword(5) Personality Computing  
Keyword(6) Acoustic Analysis  
Keyword(7)  
Keyword(8)  
1st Author's Name Souma Narikawa  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Tomoaki Mizuno  
2nd Author's Affiliation The University of Electro-Communications (UEC)
3rd Author's Name Toru Nakashika  
3rd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2026-06-06 13:00:00 
Presentation Time 180 minutes 
Registration for SP 
Paper # SP2026-27 
Volume (vol) vol.126 
Number (no) no.58 
Page pp.148-153 
#Pages 6 
Date of Issue 2026-05-29 (SP) 

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