对“非常规调音系统中的和声偏好”特邀评论的回应

IF 1.3 2区 心理学 0 MUSIC
R. Friedman, Douglas A. Kowalewski, Dominique Vuvan, W. Neill
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引用次数: 0

摘要

音调和音的起源——人们倾向于认为一些同时发出的音乐音调组合比其他的更悦耳——可以说是音乐感知中最基本的问题之一。一个多世纪以来,这个问题一直是激烈辩论的主题,毫无疑问,调查音乐引起的情感感是非常复杂的,这种情感感是无法直接观察到的,而且往往是不可形容的。在这一领域得出明确结论的挑战很好地体现在这些评论中提供的明显不同但同样深思熟虑的回应中。根据Bowling的说法,我们的发现是他的声音相似性假说(VSH)的重要证据来源,该假说认为和声源于对和声的进化偏好(Bowling, Purves, & Gill, 2018)。然而,他认为,我们对结果的解释可能会对VSH产生比所保证的更不利的影响。例如,他对我们的观点持怀疑态度,即光谱干扰(SI)在和声判断中比和声判断中占更大的差异,认为这些预测因素之间的高度相关性“为通过回归分离它们带来了问题”。“然而,经过检查,我们在回归分析中使用的和声和SI测量之间的相关性对于我们的非常规和弦刺激来说充其量只是适度的(- 0.54)。此外,方差通货膨胀因子分析(Chatterjee & Price, 2012)对所有四种相关回归的收益率均低于1.26,接近其下限。这表明我们的回归系数的精度不太可能因多重共线性而降低。我们关于SI对和声评级影响的相对强度的结论从Harrison和Pearce(2020)的工作中获得了进一步的信任,他们基于使用传统和弦的四种不同行为数据集的重新分析报告了类似的发现。然而,我们同意Bowling的观点,即在比较不同音乐特征的预测效用时,和声研究人员应该警惕多重共线性,因为某些和声或SI指标确实可能共享大量方差(例如,Bowling,本问题,图2)。然而Bowling认为,我们的分析和研究设计可能低估了和声对和声的贡献,从而低估了VSH, Smit和Milne以及Harrison都持相反观点。这表明我们可能高估了我们的发现对VSH的支持程度。事实上,哈里森认为,我们的结果至少留下了两个可供选择的假设:第一,和谐可能更受欢迎,不是因为进化中对声音的偏好,而是因为和谐有助于识别环境中不同的听觉来源。其次,对谐音的偏好可能不是因为它加强了对同声交流的注意(如VSH所假设的;Bowling等人,2018),而是因为它通过集体音乐制作加强了社会联系。尽管这些替代说法的关键细节仍有待澄清,但我们同意,我们的结果并不“支持”VSH,因为它在经验上得到了强烈的证实。正如我们在文章中所指出的,我们研究的主要目标是排除西方和弦中和声和和声之间的联系是一种熟悉的人工制品的可能性。我们的研究结果表明,情况不太可能是这样。如果没有这样的证据,VSH的可行性将受到严重怀疑。与哈里森的评估一致,我们同意,假设它确实存在,寻找对声音类声音的进化偏好的“积极”证据将是非常具有挑战性的(参见McDermott, Schultz, Underraga, & Godoy, 2016)。正如Bowling(本期)所指出的那样,“听觉系统一上线就会收到来自母亲喉部的谐波刺激”,因此很难确定对和声的偏好是否源于我们的进化
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Response to Invited Commentaries on “Consonance Preferences Within an Unconventional Tuning System”
T HE ORIGINS OF TONAL CONSONANCE—THE tendency to perceive some simultaneously sounded combinations of musical tones as more pleasant than others—is arguably among the most fundamental questions in music perception. For more than a century, the issue has been the subject of vigorous debate, undoubtedly fueled by the formidable complexities involved in investigating music-induced affective qualia that are not directly observable and often ineffable. The challenge of drawing definitive conclusions in this area of inquiry is well exemplified by the markedly divergent, yet equally thoughtful, responses offered in these commentaries. According to Bowling, our findings are an important source of converging evidence for his Vocal Similarity Hypothesis (VSH), the notion that consonance derives from an evolved preference for harmonic vocal sounds (Bowling, Purves, & Gill, 2018). However, he suggests that our interpretation of the results may cast a less favorable light on the VSH than is warranted. For example, he is skeptical of our contention that spectral interference (SI) accounts for greater variance in consonance judgments than harmonicity, arguing that the high correlation between these predictors ‘‘present[s] a problem for their separation via regression.’’ Yet, upon examination, the correlations between the harmonicity and SI measures that we used in our regression analyses were only moderate at best for our unconventional chord stimuli (-.54). Moreover, a Variance Inflation Factor analysis (Chatterjee & Price, 2012) for all four relevant regressions yields values under 1.26, close to their lower bound. This suggests that the precision of our regression coefficients was not likely to have been diminished due to multicollinearity. Our conclusion regarding the relative strength of the impact of SI on consonance ratings gains further credence from the work of Harrison and Pearce (2020), who reported analogous findings based on a reanalysis of four different behavioral datasets using conventional chords. Nevertheless, we agree with Bowling that consonance researchers should be wary of multicollinearity when comparing the predictive utility of different musical features, as certain harmonicity or SI metrics may indeed share substantial variance (see e.g., Bowling, this issue, Figure 2). Whereas Bowling suggests that our analysis and study design may have sold the VSH short by underweighting the contribution of harmonicity to consonance, both Smit and Milne as well as Harrison argue the opposite, proposing that we may have oversold the extent to which our findings support the VSH. Indeed, Harrison argues that our results leave open at least two alternative hypotheses: First, harmonicity may be preferred, not due to an evolved preference for voice-like sounds, but because harmonicity facilitates the identification of distinct auditory sources in the environment. Second, a preference for harmonic sounds may have evolved not because it reinforced attention to conspecific vocal communications (as posited by the VSH; Bowling et al., 2018), but because it reinforced social bonding via collective music making. Although critical details of these alternative accounts remain to be clarified, we agree that our results do not ‘‘support’’ the VSH in the strong sense of confirming it empirically. As we noted in our article, the primary goal of our study was to rule out the possibility that the association between consonance and harmonicity shown in Western chords was an artifact of familiarity. Our results suggest that this was unlikely to have been the case. In the absence of such evidence, the viability of the VSH would have been in grave doubt. In line with Harrison’s assessment, we concur that it will be enormously challenging to find ‘‘positive’’ evidence of an evolved preference for voice-like sounds, assuming it does exist (cf. McDermott, Schultz, Underraga, & Godoy, 2016). As noted by Bowling (this issue), ‘‘the auditory system receives harmonic stimulation from mother’s larynx as soon as it comes on-line,’’ making it difficult to determine whether a preference for harmonic chords derives from our evolutionary
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来源期刊
Music Perception
Music Perception Multiple-
CiteScore
3.70
自引率
4.30%
发文量
22
期刊介绍: Music Perception charts the ongoing scholarly discussion and study of musical phenomena. Publishing original empirical and theoretical papers, methodological articles and critical reviews from renowned scientists and musicians, Music Perception is a repository of insightful research. The broad range of disciplines covered in the journal includes: •Psychology •Psychophysics •Linguistics •Neurology •Neurophysiology •Artificial intelligence •Computer technology •Physical and architectural acoustics •Music theory
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