分隔语义边界的停顿

Costanza Navarretta
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引用次数: 5

摘要

本文研究了在初次接触的音频和视频记录语料库中标记分句边界的言语停顿和与之同时出现的手势。本文还研究了手势与语音共存的信息是否有助于子句边界停顿的自动预测。由于一个子句对应于一个或多个语义单元(对话行为),因此所研究的停顿标志着大语义单元的开始和结束。我的研究结果表明,在分析的语料库中,标记子句边界的停顿与所有手势类型共同出现。最后,我的自动预测实验表明,关于暂停前的语音标记的信息可以以高精度和召回率预测它们作为子句边界标记的功能,而关于与语音共同发生的手势(头部运动,面部表情和身体姿势)的信息对预测没有贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pauses delimiting semantic boundaries
This paper deals with speech pauses marking clause boundaries and the gestures which co-occur with them in an audio- and video-recorded corpus of first encounters. The paper also investigates whether information about gestures co-occurring with speech contributes to the automatic prediction of the clause boundary pauses. Since one clause corresponds to one or more semantic units (dialog acts) the pauses investigated mark the start and end of large semantic units. The results of my study indicate that pauses that mark clause boundaries, co-occur with all gesture types in the analyzed corpus. Finally, my automatic prediction experiments show that information about speech tokens preceding the pauses can predict their function as clause boundary markers with high precision and recall, while information about the gestures co-occurring with speech (head movements, facial expressions, and body postures) does not contribute to the prediction.
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