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语音感知动力学模型的评估

Evaluation of a dynamical model of speech perception.

作者信息

Case P, Tuller B, Ding M, Kelso J A

机构信息

Center for Complex Systems, Florida Atlantic University, Boca Raton 33431-0991, USA.

出版信息

Percept Psychophys. 1995 Oct;57(7):977-88. doi: 10.3758/bf03205457.

Abstract

Previous work (Tuller, Case, Ding, & Kelso, 1994) has revealed signature properties of nonlinear dynamical systems in how people categorize speech sounds. The data were modeled by using a two-well potential function that deformed with stimulus properties and was sensitive to context. Here we evaluate one prediction of the model--namely, that the rate of change of the potential's slope should increase when the category is repeatedly perceived. Judged goodness of category membership was used as an index of the slope of the potential. Stimuli from a "say"-"stay" continuum were presented with gap duration changing sequentially throughout the range from 0 to 76 to 0 msec, or from 76 to 0 to 76 msec. Subjects identified each token as either "say" or "stay" and rated how good an exemplar it was of the identified category. As predicted, the same physical stimulus presented at the end of a sequence was judged a better exemplar of the category than was the identical stimulus presented at the beginning of the sequence. In contrast, stimuli presented twice near the middle of a sequence with few (or no) stimuli between them, as well as stimuli presented with an intervening random set, showed no such differences. These results confirm the hypothesis of a context-sensitive dynamical representation underlying speech.

摘要

之前的研究(图勒、凯斯、丁和凯尔索,1994年)揭示了非线性动力系统在人们对语音进行分类方式中的特征属性。通过使用一个双阱势函数对数据进行建模,该函数会随着刺激属性而变形且对语境敏感。在此,我们评估该模型的一个预测——也就是说,当类别被反复感知时,势斜率的变化率应该会增加。类别成员的判断优度被用作势斜率的指标。来自“say”-“stay”连续统的刺激呈现时,间隙持续时间在0至76至0毫秒的范围内顺序变化,或者从76至0至76毫秒。受试者将每个样本识别为“say”或“stay”,并对其作为所识别类别的示例的优度进行评分。正如预测的那样,在序列末尾呈现的相同物理刺激被判断为比在序列开头呈现的相同刺激是更好的类别示例。相比之下,在序列中间附近两次呈现的刺激,中间几乎没有(或没有)刺激,以及与中间插入随机集一起呈现的刺激,都没有显示出这样的差异。这些结果证实了语音背后存在语境敏感动态表征的假设。

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