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卡纳塔克音乐表演中的手势-声音耦合:一种神经-身体分布的审美纠缠。

Gesture-vocal coupling in Karnatak music performance: A neuro-bodily distributed aesthetic entanglement.

机构信息

Department of Music, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany.

Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, The Netherlands.

出版信息

Ann N Y Acad Sci. 2022 Sep;1515(1):219-236. doi: 10.1111/nyas.14806. Epub 2022 Jun 21.

Abstract

In many musical styles, vocalists manually gesture while they sing. Coupling between gesture kinematics and vocalization has been examined in speech contexts, but it is an open question how these couple in music making. We examine this in a corpus of South Indian, Karnatak vocal music that includes motion-capture data. Through peak magnitude analysis (linear mixed regression) and continuous time-series analyses (generalized additive modeling), we assessed whether vocal trajectories around peaks in vertical velocity, speed, or acceleration were coupling with changes in vocal acoustics (namely, F0 and amplitude). Kinematic coupling was stronger for F0 change versus amplitude, pointing to F0's musical significance. Acceleration was the most predictive for F0 change and had the most reliable magnitude coupling, showing a one-third power relation. That acceleration, rather than other kinematics, is maximally predictive for vocalization is interesting because acceleration entails force transfers onto the body. As a theoretical contribution, we argue that gesturing in musical contexts should be understood in relation to the physical connections between gesturing and vocal production that are brought into harmony with the vocalists' (enculturated) performance goals. Gesture-vocal coupling should, therefore, be viewed as a neuro-bodily distributed aesthetic entanglement.

摘要

在许多音乐风格中,歌手在唱歌时会手动做手势。人们已经在言语语境中研究了手势运动学和发声之间的耦合,但在音乐创作中它们是如何耦合的仍是一个悬而未决的问题。我们在一个包含运动捕捉数据的南印度卡纳塔克声乐音乐语料库中研究了这个问题。通过峰值幅度分析(线性混合回归)和连续时间序列分析(广义加性建模),我们评估了在垂直速度、速度或加速度峰值周围的声轨迹是否与发声的声学变化(即 F0 和振幅)耦合。F0 变化与振幅的运动学耦合更强,这表明 F0 具有音乐意义。加速度对 F0 变化的预测性最强,并且具有最可靠的幅度耦合,表现出三分之一的幂关系。令人感兴趣的是,加速度而不是其他运动学对发声的预测性最强,因为加速度需要将力转移到身体上。作为一个理论贡献,我们认为在音乐语境中,手势应该与手势和发声之间的物理连接联系起来理解,这些连接与歌手的(文化)表演目标相协调。因此,手势-发声耦合应该被视为一种神经-身体分布式的审美纠缠。

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