目的:声学测谎,因其隐蔽性和远程处理能力而备受赞誉,激发了人们对可以可靠地帮助测谎的声学特征日益增长的兴趣。在这项研究中,目的是根据各种语音和声学特征而不是皮肤电构造声学测谎仪,心血管,和呼吸值。
方法:来自中国科学技术大学的62名参与者,18-30岁,参与模拟犯罪实验,并被随机分配到无辜和有罪的群体。我们收集了31个欺骗性和真实性的音频,以分析语音发作时间(VOT)在测谎中的表现。
结果:我们的发现表明,VOT在测谎方面表现良好。曲线下面积的平均灵敏度和特异性均为0.888,在95%置信水平下,其置信下限和置信上限分别高达0.803和0.973。尽管其他声学特征的参考值较低,他们还提供了测谎判断的总体趋势。
结论:我们的结果表明,某些声学特征可以有效地用作测谎的辅助手段。通过类似的方法,我们将在未来探索更多有助于检测谎言的声学和语音特征。
OBJECTIVE: Acoustic lie detection, prized for its covert nature and capability for remote processing, has spurred growing interest in acoustic features that can reliably aid in lie detection. In this study, the aim was to construct an acoustic polygraph based on a variety of phonetic and acoustic features rather than on electrodermal, cardiovascular, and respiratory values.
METHODS: Sixty-two participants from the University of Science and Technology of China, aged 18-30 years old, were involved in the mock crime experiment and were randomly assigned to the innocent and guilty groups. We collected 31 deceptive and truthful audios to analyze the performance of voice onset time (VOT) in lie detection.
RESULTS: Our findings revealed that VOT performed well in lie detection. Both the average sensitivity and specificity of the area under the curve are 0.888, and its lower and upper confidence limit are up to 0.803 and 0.973 respectively at the 95% confidence level. Although the other acoustic features had a lower reference value, they also provided a general trend in the judgment of lie detection.
CONCLUSIONS: Our results suggested that some acoustic features can be effectively used as aids to lie detection. Through a similar approach, we will explore more acoustic and phonetic features that contribute to detecting lies in the future.