Decoding peak emotional responses to music from computational acoustic and lyrical features

Decoding peak emotional responses to music from computational acoustic and lyrical features
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从计算声学和抒情特征解码对音乐的峰值情绪反应

DOI:
10.1016/j.cognition.2021.105010
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发表时间:
2022
期刊:
影响因子:
3.4
通讯作者:
Kazuma Mori
Kazuma Mori
中科院分区:
心理学2区
文献类型:
--
作者:
遠藤環;小野塚拓造;Kazuma Mori

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音乐能唤起强烈的情感。研究表明,愉快的寒战(颤抖)和眼泪(哭泣)是对音乐的最高情绪反应。本研究考察了计算声学和抒情特征是否可以解码寒颤和眼泪。该实验包括186首自选音乐,以唤起54名日本参与者的情绪反应。采用l2 -范数-正则化回归的机器学习分析揭示了解码的准确性和明确定义的特征。在研究1中,时间序列声学特征通过使用三种反应发生前后几秒钟内的信息,显著地解码了情绪上的寒战、眼泪和不寒战或眼泪。分类结果显示了三个显著的时期,表明复杂的预期-解决机制导致了寒战和眼泪。引起寒颤与节奏不确定有关,而引起眼泪则与和谐有关。违反节奏预期可能会引发寒战,而声学光谱的和谐重叠可能在唤起眼泪方面发挥作用。在研究2中,整个作品的声学和抒情特征解码了眼泪,但没有解码寒意频率。来自快乐的复杂情绪与主要和弦有关,而与悲伤的告别有关的抒情内容可以预测情绪性眼泪,这表明音乐中的独特情绪可能会引起眼泪反应。当与理论研究结合起来考虑时,违反节奏可能会在生物学上促进与愉悦和战斗相关的生理反应,而眼泪可能在进化上嵌入音乐和谐的社会纽带效应中,并在情绪调节中发挥独特的作用。
Music can evoke strong emotions. Research has suggested that pleasurable chills (shivering) and tears (weeping) are peak emotional responses to music. The present study examines whether computational acoustic and lyrical features can decode chills and tears. The experiment comprises 186 pieces of self-selected music to evoke emotional responses from 54 Japanese participants. Machine learning analysis with L2-norm-regularization regression revealed the decoding accuracy and specified well-defined features. In Study 1, time-series acoustic features significantly decoded emotional chills, tears, and the absence of chills or tears by using information within a few seconds before and after the onset of the three responses. The classification results showed three significant periods, indicating that complex anticipation-resolution mechanisms lead to chills and tears. Evoking chills was particularly associated with rhythm uncertainty, while evoking tears was related to harmony. Violating rhythm expectancy may have been a trigger for chills, while the harmonious overlapping of acoustic spectra may have played a role in evoking tears. In Study 2, acoustic and lyrical features from the entire piece decoded tears but not chill frequency. Mixed emotions stemming from happiness were associated with major chords, while lyric content related to sad farewells can contribute to the prediction of emotional tears, indicating that distinctive emotions in music may evoke a tear response. When considered in tandem with theoretical studies, the violation of rhythm may biologically boost both the pleasure- and fight-related physiological response of chills, whereas tears may be evolutionarily embedded in the social bonding effect of musical harmony and play a unique role in emotional regulation.
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