Previous work has demonstrated that words are hyperarticulated on dimensions of speech that differentiate them from a minimal pair competitor. This phenomenon has been termed contrastive hyperarticulation (CH). We present a dynamic neural field (DNF) model of voice onset time (VOT) planning that derives CH from an inhibitory influence of the minimal pair competitor during planning. We test some predictions of the model with a novel experiment investigating CH of voiceless stop consonant VOT in pseudowords. The results demonstrate a CH effect in pseudowords, consistent with a basis for the effect in the real-time planning and production of speech. The scope and magnitude of CH in pseudowords was reduced compared to CH in real words, consistent with a role for interactive activation between lexical and phonological levels of planning. We discuss the potential of our model to unify an apparently disparate set of phenomena, from CH to phonological neighborhood effects to phonetic trace effects in speech errors.

之前的研究表明，词语在言语维度上的表达是高度清晰的，这使得它们与最小配对竞争者区分开来。这种现象被称为对比性过度发音（CH）。我们提出了语音开始时间 (VOT) 规划的动态神经场 (DNF) 模型，该模型从规划过程中最小对竞争对手的抑制影响中得出 CH。我们通过一项新颖的实验来测试模型的一些预测，该实验调查了伪词中清停辅音 VOT 的 CH。结果证明了伪词中的 CH 效应，与实时规划和语音生成中的效应基础一致。与真实单词中的 CH 相比，伪词中 CH 的范围和量级有所减小，这与规划的词汇和语音层面之间的交互激活作用一致。