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跟随我小提琴的声音:格兰杰因果关系反映了声音中的信息流。

Follow the sound of my violin: Granger causality reflects information flow in sound.

作者信息

Klein Lucas, Wood Emily A, Bosnyak Dan, Trainor Laurel J

机构信息

McMaster Institute for Music and the Mind, McMaster University, Hamilton, ON, Canada.

Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada.

出版信息

Front Hum Neurosci. 2022 Nov 3;16:982177. doi: 10.3389/fnhum.2022.982177. eCollection 2022.

Abstract

Recent research into how musicians coordinate their expressive timing, phrasing, articulation, dynamics, and other stylistic characteristics during performances has highlighted the role of predictive processes, as musicians must anticipate how their partners will play in order to be together. Several studies have used information flow techniques such as Granger causality to show that upcoming movements of a musician can be predicted from immediate past movements of fellow musicians. Although musicians must move to play their instruments, a major goal of music making is to create a joint interpretation through the sounds they produce. Yet, information flow techniques have not been applied previously to examine the role that fellow musicians' sound output plays in these predictive processes and whether this changes as they learn to play together. In the present experiment, we asked professional violinists to play along with recordings of two folk pieces, each eight times in succession, and compared the amplitude envelopes of their performances with those of the recordings using Granger causality to measure information flow and cross-correlation to measure similarity and synchronization. In line with our hypotheses, our measure of information flow was higher from the recordings to the performances than vice versa, and decreased as the violinists became more familiar with the recordings over trials. This decline in information flow is consistent with a gradual shift from relying on auditory cues to predict the recording to relying on an internally-based (learned) model built through repetition. There was also evidence that violinists became more synchronized with the recordings over trials. These results shed light on the planning and learning processes involved in the aligning of expressive intentions in group music performance and lay the groundwork for the application of Granger causality to investigate information flow through sound in more complex musical interactions.

摘要

最近关于音乐家在演奏过程中如何协调其富有表现力的节奏、乐句、发音、力度以及其他风格特征的研究强调了预测过程的作用,因为音乐家必须预测其同伴将如何演奏以便相互配合。几项研究使用了诸如格兰杰因果关系等信息流技术,以表明可以根据其他音乐家的即时过往动作来预测一名音乐家即将做出的动作。尽管音乐家必须通过动作来演奏乐器,但音乐创作的一个主要目标是通过他们所发出的声音来创造一种共同的诠释。然而,信息流技术此前尚未被应用于研究其他音乐家的声音输出在这些预测过程中所起的作用,以及随着他们一起学习演奏,这种作用是否会发生变化。在本实验中,我们要求专业小提琴家与两首民间乐曲的录音一起演奏,每首乐曲连续演奏八次,并使用格兰杰因果关系来测量信息流,以及使用互相关来测量相似度和同步性,将他们演奏的幅度包络与录音的幅度包络进行比较。与我们的假设一致,我们测量的从录音到演奏的信息流高于相反方向的信息流,并且随着小提琴家在多次试验中对录音越来越熟悉,信息流有所下降。信息流的这种下降与从依赖听觉线索来预测录音逐渐转变为依赖通过重复建立的基于内部(习得)的模型是一致的。也有证据表明小提琴家在多次试验中与录音的同步性变得更强。这些结果揭示了在集体音乐表演中协调表达意图所涉及的规划和学习过程,并为应用格兰杰因果关系来研究更复杂音乐互动中通过声音的信息流奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01cd/9671163/85a52e53cb7f/fnhum-16-982177-g0001.jpg

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