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Emotional expression in music: contribution, linearity, and additivity of primary musical cues

机译:音乐中的情感表达:主要音乐提示的贡献,线性和可加性

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The aim of this study is to manipulate musical cues systematically to determine the aspects of music that contribute to emotional expression, and whether these cues operate in additive or interactive fashion, and whether the cue levels can be characterized as linear or non-linear. An optimized factorial design was used with six primary musical cues (mode, tempo, dynamics, articulation, timbre, and register) across four different music examples. Listeners rated 200 musical examples according to four perceived emotional characters (happy, sad, peaceful, and scary). The results exhibited robust effects for all cues and the ranked importance of these was established by multiple regression. The most important cue was mode followed by tempo, register, dynamics, articulation, and timbre, although the ranking varied across the emotions. The second main result suggested that most cue levels contributed to the emotions in a linear fashion, explaining 77–89% of variance in ratings. Quadratic encoding of cues did lead to minor but significant increases of the models (0–8%). Finally, the interactions between the cues were non-existent suggesting that the cues operate mostly in an additive fashion, corroborating recent findings on emotional expression in music (Juslin and Lindström, 2010).
机译:这项研究的目的是系统地操纵音乐提示,以确定有助于情感表达的音乐方面,以及这些提示是否以加性或交互方式运行,以及提示级别可以表征为线性还是非线性。优化的阶乘设计在四个不同的音乐示例中使用了六个主要音乐提示(模式,速度,动力学,清晰度,音色和配准)。听众根据四个感知到的情感特征(快乐,悲伤,和平和恐怖)对200个音乐示例进行了评分。结果对所有提示均显示出强大的效果,并且通过多重回归确定了这些提示的排名重要性。最重要的提示是模式,其次是速度,配准,动力学,发音和音色,尽管排名随情感而变化。第二个主要结果表明,大多数提示水平以线性方式促进了情绪的产生,解释了评分差异的77%至89%。线索的二次编码确实导致了模型的微小但显着的增加(0–8%)。最后,提示之间不存在交互作用,这提示这些提示主要以加性方式运行,从而证实了最近关于音乐情感表达的发现(Juslin和Lindström,2010)。

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