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Paper Abstract and Keywords
Presentation 2022-03-10 11:45
A Consideration on Estimation Accuracy Improvement of Unlearned Music Pieces in Music Listener's Emotion Estimation Using Bio-signals
Nanami Tanizawa, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2021-118
Abstract (in Japanese) (See Japanese page) 
(in English) We are conducting a research of music listener’s emotion estimation by using bio-signals in order to utilize it for music recommendation systems. In this paper, in order to improve emotion estimation accuracy of unlearned music pieces, we perform an analysis with more training data and an analysis considering emotion changes within a music piece. Then, we compare the results in these analyses to the results in our previous study. In addition, we examine the estimation using the music information of key, tempo, mode and loudness obtained from Spotify as well as using bio-signals. As a result, the increase in the amount of data and the consideration of emotion changes within a music piece don’t improve the estimation accuracy much, although the chance levels are exceeded. On the other hand, the highest accuracies are achieved when both the music information and the bio-signals are used. The results suggest that it may be possible to estimate music listener’s emotion even for unlearned music pieces.
Keyword (in Japanese) (See Japanese page) 
(in English) Bio-signals / Music Listener / Emotion Estimation / Unlearned Music Pieces / Machine Learning / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 421, CQ2021-118, pp. 100-105, March 2022.
Paper # CQ2021-118 
Date of Issue 2022-03-02 (CQ) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 CQ2021-118

Conference Information
Committee CQ IMQ MVE IE  
Conference Date 2022-03-09 - 2022-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Online (Zoom) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc 
Paper Information
Registration To CQ 
Conference Code 2022-03-CQ-IMQ-MVE-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Consideration on Estimation Accuracy Improvement of Unlearned Music Pieces in Music Listener's Emotion Estimation Using Bio-signals 
Sub Title (in English)  
Keyword(1) Bio-signals  
Keyword(2) Music Listener  
Keyword(3) Emotion Estimation  
Keyword(4) Unlearned Music Pieces  
Keyword(5) Machine Learning  
1st Author's Name Nanami Tanizawa  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Mutsumi Suganuma  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Wataru Kameyama  
3rd Author's Affiliation Waseda University (Waseda Univ.)
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Date Time 2022-03-10 11:45:00 
Presentation Time 25 
Registration for CQ 
Paper # IEICE-CQ2021-118 
Volume (vol) IEICE-121 
Number (no) no.421 
Page pp.100-105 
#Pages IEICE-6 
Date of Issue IEICE-CQ-2022-03-02 

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