DocumentCode
168433
Title
Cross-cultural mood regression for music digital libraries
Author
Xiao Hu ; Yi-Hsuan Yang
Author_Institution
Univ. of Hong Kong, Hong Kong, China
fYear
2014
fDate
8-12 Sept. 2014
Firstpage
471
Lastpage
472
Abstract
Mood is a popular access point in music digital libraries and online music repositories, and is often represented as numerical values in a small number of emotion-related dimensions (e.g., valence and arousal). As music mood is recognized as culturally dependent, this study investigates whether regression models built with music data in one culture can be applied to music in another culture. Results indicate that cross-cultural predictions of both valence and arousal values are feasible.
Keywords
cultural aspects; digital libraries; music; regression analysis; arousal values; cross-cultural mood regression; music digital libraries; online music repositories; valence values; Abstracts; Length measurement; Libraries; Mood; Size measurement; Vectors; Music mood; cross-cultural; music digital libraries; regression;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Libraries (JCDL), 2014 IEEE/ACM Joint Conference on
Conference_Location
London
Type
conf
DOI
10.1109/JCDL.2014.6970230
Filename
6970230
Link To Document