论文标题
语音计划期间的神经抑制作用有助于对比度过度插曲
Neural inhibition during speech planning contributes to contrastive hyperarticulation
论文作者
论文摘要
先前的工作表明，单词在语音维度上是超级定义的，这些语音将它们与最小对竞争者区分开来。该现象已称为对比度超颗粒（CH）。我们提出了语音发作时间（fot）计划的动态神经场（DNF）模型，该模型从计划中最小对竞争者的抑制作用衍生出CH。我们通过一项新的实验测试了该模型的一些预测，该实验调查了伪金中无声的停止辅音CH。结果表明，伪造的效果是与实时计划和语音生产效应的基础一致的。与CH相比，用真实的词相比，伪金中CH的范围和幅度降低了，这与词汇和语音计划之间的互动激活作用一致。我们讨论了模型统一一组不同现象的潜力，从CH到语音邻居效应再到语音误差中的语音痕量效应。
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.
