Cross-Cultural Mood Regression for Music Digital Libraries

被引：0

作者：

Hu, Xiao ^{[1
]}

Yang, Yi-Hsuan ^{[2
]}

机构：

[1] Univ Hong Kong, Pokfulam Rd, Hong Kong, Hong Kong, Peoples R China

[2] Acad Sinica, Taipei 11529, Taiwan

来源：

2014 IEEE/ACM JOINT CONFERENCE ON DIGITAL LIBRARIES (JCDL) | 2014年

关键词：

Music mood; regression; cross-cultural; music digital libraries;

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：

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.

引用

页码：471 / 472

页数：2

共 6 条

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