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Music and Language Processing Share Behavioral and Cerebral Features

机译:音乐和语言处理共享行为和脑功能

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Both language and music consist of discrete elements organized in embedded hierarchical structures. Schön and François nicely expose in this review that musical expertise facilitates learning of both linguistic and musical structures. At the behavioral level, the musicians did not outperform the non-musicians. However, ERP analyses showed that acquisition of boundary perception (segmentation) between units improved with musical training. The experimental strategy typically used to investigate segmentation relies in a learning phase-on passive exposition to artificially constructed linguistic and musical material (cf. Figure 1). The authors plausibly argue, also based on a solid literature in this field, that such perceptual learning partially relies on statistics. The probability that a certain element is followed by another is different between and within units (words or tone sequences). In the test phase, participants should discriminate units from non-units. Statistical learning is by no means restricted to the auditory domain.
机译:语言和音乐都由以嵌入式层次结构组织的离散元素组成。舍恩和弗朗索瓦在这篇评论中很好地揭示了音乐专长有助于语言和音乐结构的学习。在行为层面上,音乐家的表现并没有超过非音乐家。但是,ERP分析表明,通过音乐训练,单位之间对边界知觉(分段)的获取有所改善。通常用于研究细分的实验策略依赖于学习阶段的被动阐述,以人工构建的语言和音乐材料(参见图1)。作者也根据该领域的可靠文献认为,这种知觉学习部分依赖于统计。某个元素跟在另一个元素之后的概率在单元(单词或音调序列)之间和之内是不同的。在测试阶段,参与者应将单位与非单位区分开。统计学习绝不限于听觉领域。

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