Models of L2 pronunciation learning have hypothesized that accurate speech perception promotes accurate speech production. This claim can be evaluated longitudinally by examining the extent to which changes in stop consonant perception predict changes in stop consonant production. Taking a time‐sensitive view of the perception–production link, this study used longitudinal data to analyze perception as a time‐varying predictor of production accuracy. Mixed‐effects models were fit to oddity, delayed word repetition, and picture description tasks to examine how participants’ perception and production changed over time. Oddity task perception data were then decomposed into their between‐ and within‐subjects components and integrated into the delayed repetition and picture description production models. Surprisingly, only the between‐subjects predictors reached significance, and the strength of the perception–production link varied across production tasks and target phones. The methods used have implications for future research on perception–production links.

中文翻译：

---

回顾知觉与生产的关系：探索一种新的方法来研究知觉是随时间变化的预测因素

L2语音学习的模型假设，准确的语音感知可促进准确的语音产生。通过检查终止辅音感知的变化预测终止辅音产生的变化的程度，可以纵向评估此声明。从感知到生产联系的时间敏感性观点出发，本研究使用纵向数据来分析感知作为生产准确性随时间变化的预测指标。混合效果模型适合于奇数，单词重复延迟和图片描述任务，以检查参与者的感知和生产如何随时间变化。然后，将奇特任务感知数据分解为对象之间和对象内部的组件，并集成到延迟的重复和图片描述生成模型中。出奇，只有对象间的预测变量才有意义，感知-生产链接的强度在生产任务和目标电话之间是不同的。所使用的方法对未来关于感知－生产联系的研究具有影响。