Experimental Investigation of Feature Quantity in Sound Signal and Feeling Impression Using PCA

DOI

10.2991/jrnal.2015.1.4.11How to use a DOI?

Keywords

Signal processing, Fluctuation, Intercept, Sum of squared errors, Feeling impression, PCA

Abstract

This paper describes experimental investigation of the relationship between feature quantity of sound signal and feeling impression using PCA (Principal Component Analysis). As the feature quantity, we use Fluctuation value and sum of squared errors (Residual) which is calculated by regression analysis of sound signal, in the same way as our previous paper. In order to investigate the feeling impression and effect from sound signal, we use a questionnaire survey method, that is, we ask some examinees to evaluate their feeling impression about sound (music) that we provide. As a result, we have found that the feeling response of examinees can be classified into three groups by a clustering analysis. And we have verified the feeling impression effects depending on each group of examinees and four kinds of frequency zone of sound signal from the results of PCA. In this paper, we also discuss the analysis results on the Kansei (or feeling) effect.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Yusuke Kawakami
AU  - Tetsuo Hattori
AU  - Hiromichi Kawano
AU  - Tetsuya Izumi
PY  - 2015
DA  - 2015/03/02
TI  - Experimental Investigation of Feature Quantity in Sound Signal and Feeling Impression Using PCA
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 303
EP  - 311
VL  - 1
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2015.1.4.11
DO  - 10.2991/jrnal.2015.1.4.11
ID  - Kawakami2015
ER  -