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Paper Abstract and Keywords
Presentation 2018-06-29 10:30
Analysis of speech-to-texture sentiment association characteristics
Win Thuzar Kyaw, Yoshinori Sagisaka (Waseda Univ.) PRMU2018-30 SP2018-10
Abstract (in Japanese) (See Japanese page) 
(in English) Aiming at speech visualization using textures or finding texture generation scheme from sentiment information embedded in speech, we analyzed speech-to-texture sentiment association characteristics in this study. For the speech, we used single vowel utterances with three different phonations (modal, creaky and breathy) to understand voice source differences and asked 40 subjects to select a texture image among 36 texture images based on their perceptual impressions after listening to each vowel sound. For the scientific understanding of cross-modal correlations between speech and texture, we employed speech source features representing voice source characteristics and image texture features showing textural characteristics. After conducting sentiment analysis, we have found significant correlations between voice source acoustic parameters and textural parameters which suggest a possibility for visualization of sentiment information embedded in speech.
Keyword (in Japanese) (See Japanese page) 
(in English) speech-to-texture sentiment correlation / phonation differences / voice source features / textural features / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 112, SP2018-10, pp. 47-52, June 2018.
Paper # SP2018-10 
Date of Issue 2018-06-21 (PRMU, 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 PRMU2018-30 SP2018-10

Conference Information
Committee PRMU SP  
Conference Date 2018-06-28 - 2018-06-29 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2018-06-PRMU-SP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of speech-to-texture sentiment association characteristics 
Sub Title (in English)  
Keyword(1) speech-to-texture sentiment correlation  
Keyword(2) phonation differences  
Keyword(3) voice source features  
Keyword(4) textural features  
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1st Author's Name Win Thuzar Kyaw  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Yoshinori Sagisaka  
2nd Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2018-06-29 10:30:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # PRMU2018-30, SP2018-10 
Volume (vol) vol.118 
Number (no) no.111(PRMU), no.112(SP) 
Page pp.47-52 
#Pages 6 
Date of Issue 2018-06-21 (PRMU, SP) 

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