Cross-cultural mood regression for music digital libraries

Xiao Hu, Yi-Hsuan Yang
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引用次数: 5

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.
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音乐数字图书馆的跨文化情绪回归
情绪是音乐数字图书馆和在线音乐存储库的一个流行接入点,并且通常以少量情感相关维度(例如,效价和唤醒)的数值表示。由于音乐情绪被认为是文化依赖的,本研究探讨了用一种文化中的音乐数据建立的回归模型是否可以应用于另一种文化中的音乐。结果表明,效价和唤醒值的跨文化预测是可行的。
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