用神经场模型解释说话人如何实时调整口音，以及为何会反弹。
Phonetic accommodation and inhibition in a dynamic neural field model
- 基于动态神经场建模语音规划与记忆，模拟口音适应过程。
- 实验显示适应后可能出现反向偏离，因记忆延迟抑制效应。
- 适合研究语言演变、社会语言学或语音认知的学者参考。
短期语音适应是口音变化的核心驱动力，但另一说话者实时语音输入如何影响对话者语音规划表征？我们提出一个基于运动规划与记忆动力学的动态神经场方程计算模型。双层规划/记忆场预测：在一次试次中对目标说话者产生收敛后，下一次试次可能引发偏离，源于较慢演化记忆场中的延迟抑制效应。该模型预测与一项实验预研中的适应模式进行对比。结果表明，观察到的实证现象可能对应于抑制性记忆动态强度的变化，这可能反映由音系或社会语言因素导致的适应抵抗。这些发现对短期语音适应与语音演变之间的关系具有重要意义。
原文摘要 · Abstract (English)
Short-term phonetic accommodation is a fundamental driver behind accent change, but how does real-time input from another speaker's voice shape the speech planning representations of an interlocutor? We advance a computational model of change in speech planning representations during phonetic accommodation, grounded in dynamic neural field equations for movement planning and memory dynamics. A dual-layer planning/memory field predicts that convergence to a model talker on one trial can trigger divergence on subsequent trials, due to a delayed inhibitory effect in the more slowly evolving memory field. The model's predictions are compared with empirical patterns of accommodation from an experimental pilot study. We show that observed empirical phenomena may correspond to variation in the magnitude of inhibitory memory dynamics, which could reflect resistance to accommodation due to phonological and/or sociolinguistic pressures. We discuss the implications of these results for the relations between short-term phonetic accommodation and sound change.
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