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关于塞音产生与感知的轨迹方程的相关性

On the relevance of locus equations for production and perception of stop consonants.

作者信息

Brancazio L, Fowler C A

机构信息

Haskins Laboratories, New Haven, CT 06511, USA.

出版信息

Percept Psychophys. 1998 Jan;60(1):24-50. doi: 10.3758/bf03211916.

Abstract

We examined the possible relevance of locus equations to human production and perception of stop consonants. The orderly output constraint (OOC) of Sussman, Fruchter, and Cable (1995) claims that humans have evolved to produce speech such that F2 at consonant release and F2 at vowel midpoint are linearly related for consonants so that developing perceptual systems can form representations in an F2ons-by-F2vowel space. The theory claims that this relationship described by locus equations can distinguish consonants, and that the linearity of locus equations is captured in neural representations and is thus perceptually relevant. We investigated these claims by testing how closely locus equations reflect the production and perception of stop consonants. In Experiment 1, we induced speakers to change their locus equation slope and intercept parameters systematically, but found that consonants remained distinctive in slope-by-intercept space. In Experiment 2, we presented stop-consonant syllables with their bursts removed to listeners, and compared their classification error matrices with the predictions of a model using locus equation prototypes and with those of an exemplar-based model that uses F2ons and F2vowel, but not locus equations. Both models failed to account for a large proportion of the variance in listeners' responses; the locus equation model was no better in its predictions than the exemplar model. These findings are discussed in the context of the OOC.

摘要

我们研究了轨迹方程与人类塞音的产生和感知之间可能存在的关联。苏斯曼、弗鲁赫特和凯布尔(1995年)提出的有序输出约束(OOC)认为,人类在进化过程中形成了这样一种语音产生方式,即对于辅音而言,辅音释放时的第二共振峰(F2)与元音中点处的F2呈线性相关,以便发育中的感知系统能够在F2起始点与F2元音的空间中形成表征。该理论称,轨迹方程所描述的这种关系能够区分辅音,并且轨迹方程的线性在神经表征中得以体现,因此在感知上具有相关性。我们通过测试轨迹方程在多大程度上反映塞音的产生和感知来对这些观点进行了研究。在实验1中,我们引导说话者系统地改变其轨迹方程的斜率和截距参数,但发现辅音在斜率与截距构成的空间中仍然具有独特性。在实验2中,我们向听众呈现去除爆发音的塞音音节,并将他们的分类误差矩阵与使用轨迹方程原型的模型以及基于范例的模型(该模型使用F2起始点和F2元音,但不使用轨迹方程)的预测结果进行比较。两个模型都未能解释听众反应中很大一部分的方差;轨迹方程模型的预测并不比范例模型更好。我们将在有序输出约束的背景下对这些发现进行讨论。

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