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| 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 |
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| 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 | 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 | CQ2021-118 |
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| 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 |
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| Keyword(8) | |
| 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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| Speaker | Author-1 |
| Date Time | 2022-03-10 11:45:00 |
| Presentation Time | 25 minutes |
| Registration for | CQ |
| Paper # | CQ2021-118 |
| Volume (vol) | vol.121 |
| Number (no) | no.421 |
| Page | pp.100-105 |
| #Pages | 6 |
| Date of Issue | 2022-03-02 (CQ) |
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