An Overview of Advancements in Lie Detection Technology in Speech

被引:2
|
作者
Zhou, Yan [1 ]
Bu, Feng [1 ]
机构
[1] Suzhou Vocat Univ, Suzhou, Peoples R China
关键词
Deep Learning Algorithm; Speech Signal Processing; Detection Model; Feature Extraction; Lie Detection Technology; NEURAL-NETWORKS; EMOTION RECOGNITION; DECEPTIVE SPEECH; FACE RECOGNITION; MODEL; CLASSIFICATION; EVOLUTION; MACHINE; STRESS; LEVEL;
D O I
10.4018/IJITSA.316935
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Lie detection technology in speech is a process of lying psychological state recognition according speech signal analysis. Normally, the emotion of tension if felt when people lie. As a result, this tension leads to some subtle changes of the sound channel structure; for example, the semantic characteristics, prosodic characteristics, resonance peak, and the psychoacoustics parameters all can be different from before. In this paper, the development situation of current lie detection technology is presented. Several public speech databases for lie detection are also introduced. Then, the research situation of feature expression, selection, and extraction for lie detection is described. In addition, the research progress of lie detection algorithm is highlighted. Finally, the future direction and the existing problems of lie detection technology in speech are summarized.
引用
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页数:8
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