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The Contribution of Local Features to Familiarity Judgments in Music

机译:本地特征对音乐中熟悉判断的贡献

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The contributions of local and global features to object identification depend upon the context. For example, while local features play an essential role in identification of words and objects, the global features are more influential in face recognition. In order to evaluate the respective strengths of local and global features for face recognition, researchers usually ask participants to recognize human faces (famous or learned) in normal and scrambled pictures. In this paper, we address a similar issue in music. We present the results of an experiment in which musically untrained participants were asked to differentiate famous from unknown musical excerpts that were presented in normal or scrambled ways. Manipulating the size of the temporal window on which the scrambling procedure was applied allowed us to evaluate the minimal length of time necessary for participants to make a familiarity judgment. Quite surprisingly, the minimum duration for differentiation of famous from unknown pieces is extremely short. This finding highlights the contribution of very local features to music memory.
机译:本地和全局功能对对象识别的贡献取决于上下文。例如,虽然本地特征在识别单词和对象的识别中发挥重要作用,但是全局特征在人脸识别中更有影响力。为了评估局部和全球特征的各自的优势,研究人员通常要求参与者在正常和乱涂的图片中识别人类面孔(着名或学习)。在本文中,我们在音乐中解决了类似的问题。我们介绍了一个实验的结果,其中历史上未经训练的参与者被要求区别于以正常或争吵方式呈现的未知音乐摘录。操纵扰乱程序的时间窗口的尺寸允许我们评估参与者提出熟悉判断所需的最小时间长度。非常令人惊讶的是,从未知件中名片的区别的最小持续时间非常短。这一发现突出了非常本地功能对音乐内存的贡献。

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