Unveiling the Perceptual Differences in Mood and Color Perception in Non-Mainstream Music Styles

被引：0

作者：

Pesek, Matevz ^{[1
]}

Marolt, Matija ^{[1
]}

机构：

[1] Univ Ljubljana, Fac Comp & Informat Sci, Ljubljana, Slovenia

来源：

IPSI BGD TRANSACTIONS ON INTERNET RESEARCH | 2019年 / 15卷 / 01期

关键词：

music information retrieval; music emotion recognition; affective MIR; mood estimation; Moodo dataset; RETRIEVAL; EMOTIONS; CLASSIFICATION; SOUND; USER;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The article explores the differences in listeners' perception of nonmainstream music styles, uncovering the influence of the music context on their responses. To tackle this problem, the Moodo dataset-which links emotional and color perception to music, and includes user context-is used. Our focus is on two parts of the dataset that were not previously analyzed: a collection of Slovenian folk songs and a collection of electro-acoustic music pieces. The analysis of user responses to these non-mainstream music styles revealed strong induced emotions, not otherwise present in more mainstream genres. We show how this knowledge can be applied to the development of every-day music applications.

引用

页数：10