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The Relationship Between Valence and Chills in Music: A Corpus Analysis

机译:音乐价值与寒意的关系:语料库分析

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Chills experienced in response to music listening have been linked to both happiness and sadness expressed by music. To investigate these conflicting effects of valence on chills, we conducted a computational analysis on a corpus of 988 tracks previously reported to elicit chills, by comparing them with a control set of tracks matched by artist, duration, and popularity. We analysed track-level audio features obtained with the Spotify Web API across the two sets of tracks, resulting in confirmatory findings that tracks which cause chills were sadder than matched tracks and exploratory findings that they were also slower, less intense, and more instrumental than matched tracks on average. We also found that the audio characteristics of chills tracks were related to the direction and magnitude of the difference in valence between the two sets of tracks. We discuss these results in light of the current literature on valence and chills in music, provide a new interpretation in terms of personality correlates of musical preference, and review the advantages and limitations of our computational approach.
机译:对音乐听音乐的寒意已经与音乐表达的幸福和悲伤有关。为了调查这种价值对寒意的矛盾,我们对先前报告的988个曲目的语料库进行了计算分析,通过将它们与艺术家,持续时间和人气匹配的控制曲目进行比较。我们分析了通过Spotify Web API获得的曲目级音频功能,通过两组轨道,导致确认结果,导致寒意的追踪比匹配的曲目和探索性调查结果相比,它们也比较慢,更强烈,更具乐器更慢平均匹配的曲目。我们还发现,发冷轨道的音频特性与两组轨道之间的价差的方向和幅度有关。我们讨论了这些结果,目前在音乐中的价值和寒意上的文献中,在人格偏好方面提供了新的解释,并审查了我们计算方法的优势和局限性。

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