Experiment materials for "Disfluencies in change detection in natural, vocoded and synthetic speech."

The current dataset is associated with the DiSS paper "Disfluencies in change detection in natural, vocoded and synthetic speech." In this paper we investigate the effect of filled pauses, a discourse marker and silent pauses in a change detection experiment in natural, vocoded and synthetic speech. In natural speech change detection has been found to increase in the presence of filled pauses, we extend this work by replicating earlier findings and explore the effect of a discourse marker, like, and silent pauses. Furthermore we report how the use of "unnatural" speech, namely synthetic and vocoded, affects change detection rates.

当前数据集关联于发表于DiSS的论文《自然、声码化语音（vocoded speech）与合成语音（synthetic speech）场景下变化检测（change detection）任务中的言语不流畅现象（Disfluencies）》。本研究针对自然、声码化语音与合成语音的变化检测实验，探究填充停顿（filled pauses）、话语标记语（discourse marker）以及无声停顿（silent pauses）的影响效应。既往研究发现，自然语音中出现填充停顿时，变化检测任务的表现会有所提升；本研究通过复现既往研究结果拓展了原有工作，并进一步探究了诸如like这类话语标记语以及无声停顿的影响。此外，本研究还报告了“非自然”语音——即合成语音与声码化语音——的使用对变化检测率的影响。