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.

翻译：先前研究表明，词语在与最小对竞争词语相区分的语音维度上存在超发音现象，这一现象被称为对比性超发音（CH）。我们提出了一个语音启动时间（VOT）规划的动态神经场（DNF）模型，该模型将CH归因于规划过程中最小对竞争词语的抑制作用。我们通过一项探究伪词中清塞音VOT对比性超发音的新实验验证了该模型的若干预测。实验结果证实伪词中存在CH效应，表明该效应源于言语实时规划与产出机制。与真词相比，伪词中CH的幅度与范围均有所降低，这符合词汇层与音系层规划之间存在交互激活作用的假设。我们探讨了该模型统一解释从对比性超发音到音系邻域效应，再到言语错误中的语音痕迹效应等看似离散现象的潜力。