发表机构
University of Maryland College Park; The University of Texas at Dallas（马里兰大学帕克分校; 德克萨斯大学达拉斯分校）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究提出说话者无关框架，用声学-发音反转和协调复杂性指标量化自发对话中的发音协同，发现非自闭症双人组协同更强，且协同与对话成功正相关。
AI 中文摘要
发音协同（articulatory entrainment），即调整声道协调以促进互动，在自发对话中仍未得到充分探索，尤其是在自闭症说话者中。许多先前的研究采用了基于任务的音素级分析，并使用侵入性测量技术。在此，我们引入一个说话者无关的框架，通过声学-发音反转和协调复杂性指标，量化自闭症和非自闭症成年人自发双人对话中的发音协同。我们检查了互动过程中发音协调的时间变化。非自闭症双人组表现出随时间增加的协调复杂性和更强的协同，自闭症双人组表现出中等效应，而混合双人组表现出最少的对齐。更大的发音协同与更高的自我报告对话成功度相关，表明协调复杂性的增加是有效社交互动的标志。
英文摘要
Articulatory entrainment, the adaptation of vocal tract coordination to facilitate interaction remains underexplored in spontaneous dialogue, particularly among autistic speakers. Many prior studies have utilized task-based, phoneme-level analyses with invasive measurement techniques. Here, we introduce a speaker-independent framework to quantify articulatory entrainment in spontaneous dyadic conversations among autistic and non-autistic adults using acoustic-to-articulatory inversion and coordination complexity metrics. We examine temporal changes in articulatory coordination across interaction. Non-autistic dyads exhibit increasing coordination complexity and stronger entrainment over time, autistic dyads show moderate effects, and mixed dyads demonstrate the least alignment. Greater articulatory entrainment correlates with higher self-reported conversational success, indicating increase in coordination complexity as a marker of effective social interaction.
CommentsAccepted to be published in Interspeech 2026
