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:先前的工作已经表明,语言在语言的维度上是超强的,将其与最小的对比竞争者区分开来。这个现象被称为对比性超直线(CH ) 。 我们展示了一个动态神经领域(DNF) 的语音启动时间(VOT)规划模型(DNF) 模型,它使CH在规划期间受到最小的对比竞争者的抑制性影响。 我们测试了该模型的一些预测,并进行了新颖的实验,调查了没有声音的CH在假名中停止匹配VOT。 结果表明了假名中的CH效应,这与实时规划和制作语音规划和制作效果的基础是一致的。 假名中CH的范围和规模比CH在实际文字中减少了,这与Lucal和声学规划水平之间的交互激活作用是一致的。 我们讨论了我们的模型将一系列明显截然不同的现象(从CH到声学社区效应到语音错误中的音迹效应)统一起来的潜力。</s>