You Can Tell a Prodigy From a Professional Musician

IF 1.3 2区 心理学 0 MUSIC
Viola Pausch, Nina Düvel, R. Kopiez
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引用次数: 1

Abstract

According to Feldman (1993), musical prodigies are expected to perform at the same high level as professional adult musicians and, therefore, are indistinguishable from adults. This widespread definition was the basis for the study by Comeau et al. (2017), which investigated if participants could determine whether an audio sample was played by a professional pianist or a child prodigy. Our paper is a replication of this previous study under more controlled conditions. Our main findings partly confirmed the previous findings: Comparable to Comeau et al.’s (2017) study (N = 51), the participants in our study (N = 278) were able to discriminate between prodigies and adult professionals by listening to music recordings of the same pieces. The overall discrimination performance was slightly above chance (correct responses: 53.7%; sensitivity d’ = 0.20), which was similar to Comeau et al.’s (2017) results of the identification task with prodigies aged between 11 and 14 years (approximately 54.6% correct responses; sensitivity approximately d’ = 0.13). Contrary to the original study, musicians and pianists in our study did not perform significantly better than other participants. Nevertheless, it is generally possible for listeners to differentiate prodigies from adult performers—although this is a demanding task.
你可以分辨出一个天才和一个专业音乐家
根据Feldman(1993)的观点,音乐神童被期望在与专业成年音乐家相同的高水平上表演,因此,与成年人无法区分。这一广泛的定义是Comeau等人(2017)研究的基础,该研究调查了参与者是否能够确定音频样本是由专业钢琴家还是神童演奏的。我们的论文是在更严格的控制条件下复制先前的研究。我们的主要发现部分证实了之前的发现:与Comeau等人(2017)的研究(N = 51)相比,我们研究的参与者(N = 278)能够通过听相同作品的音乐录音来区分天才和成年专业人士。总体判别表现略高于随机(正确率:53.7%;灵敏度d ' = 0.20),这与Comeau et al.(2017)对11 - 14岁神童识别任务的结果相似(约54.6%的正确率;灵敏度约为d ' = 0.13)。与最初的研究相反,在我们的研究中,音乐家和钢琴家的表现并没有明显好于其他参与者。尽管如此,一般来说,听众还是有可能将天才和成年表演者区分开来——尽管这是一项艰巨的任务。
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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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