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Paper Abstract and Keywords
Presentation 2026-03-05 16:10
[Poster Presentation] Study on Emotion Estimation in Conversational Speech Data Using Sound Quality Metrics
Natsuki Nagao, Shogo Okada, Masashi Unoki (JAIST) EMM2025-130
Abstract (in Japanese) (See Japanese page) 
(in English) This paper investigates emotion estimation in conversational speech using sound quality metrics based on auditory perception. While conventional emotion recognition studies mainly rely on acoustic features such as mel-spectrograms and fundamental frequency, human emotion perception is also influenced by perceptual sound qualities such as loudness and temporal fluctuation. In this study, we analyze whether sound quality metrics capture emotion-related characteristics in large-scale emotional speech data and whether they are effective for emotion estimation. Specifically, we focus on the IEMOCAP emotional speech corpus, which consists of acted and spontaneous dyadic conversations, and extract sound quality metrics including loudness, sharpness, roughness, fluctuation strength, and tonality for each utterance. These metrics are analyzed based on the Valence–Arousal–Dominance (VAD) representation, and regression analyses are conducted to estimate continuous VAD values from the sound quality metrics. The results show that sound quality metrics are associated with emotional dimensions, with particularly strong relevance to the arousal dimension. These findings suggest that sound quality metrics can serve as effective features for capturing continuous psychological aspects of emotion, especially emotional intensity, in conversational speech.
Keyword (in Japanese) (See Japanese page) 
(in English) emotional speech / sound quality metrics / auditory perception model / Valence-Arousal-Dominance / emotion estimation / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 396, EMM2025-130, pp. 76-81, March 2026.
Paper # EMM2025-130 
Date of Issue 2026-02-26 (EMM) 
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 EMM2025-130

Conference Information
Committee EMM  
Conference Date 2026-03-05 - 2026-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Miyako Island Hirara Port Terminal Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EMM 
Conference Code 2026-03-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on Emotion Estimation in Conversational Speech Data Using Sound Quality Metrics 
Sub Title (in English)  
Keyword(1) emotional speech  
Keyword(2) sound quality metrics  
Keyword(3) auditory perception model  
Keyword(4) Valence-Arousal-Dominance  
Keyword(5) emotion estimation  
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1st Author's Name Natsuki Nagao  
1st Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
2nd Author's Name Shogo Okada  
2nd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
3rd Author's Name Masashi Unoki  
3rd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
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Speaker Author-1 
Date Time 2026-03-05 16:10:00 
Presentation Time 60 minutes 
Registration for EMM 
Paper # EMM2025-130 
Volume (vol) vol.125 
Number (no) no.396 
Page pp.76-81 
#Pages 6 
Date of Issue 2026-02-26 (EMM) 

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