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侦查欺骗性语言

Detecting Deceptive Speech
课程网址: http://videolectures.net/clsp_hirschberg_deceptive/  
主讲教师: Julia Hirschberg
开课单位: 哥伦比亚大学
开课时间: 2012-02-15
课程语种: 英语
中文简介:
本文将讨论欺骗性言语的产生和感知研究,以及与欺骗性相关的声学/韵律和词汇线索。本文描述了我们在实验室里从幼稚的受试者身上收集大量的欺骗性和非欺骗性言语语料库的实验,以及对这种语料库的感知实验。从该语料库中提取的特征已用于机器学习实验中,根据特征集和学习算法,以64.0-66.4%的分类精度预测欺骗行为。与人类法官在相同数据和任务上的表现相比,这一表现是有利的,平均为58.2%。我们还讨论了人格因素在欺骗检测中的作用、依赖说话人的欺骗模型以及未来的研究。这项工作是与哥伦比亚大学的Frank Enos、Elizabeth Shriberg、Andreas Stolcke和Martin Graciarena、SRI/ICSI、布朗大学的Stefan Benus等合作完成的。
课程简介: This talk will discuss production and perception studies of deceptive speech and the acoustic/prosodic and lexical cues associated with deception. Experiments in which we collected a large corpus of deceptive and non-deceptive speech from naive subjects in the laboratory are described, together with perception experiments of this corpus. Features extracted from this corpus have been used in Machine Learning experiments to predict deception with classification accuracy from 64.0- 66.4%, depending upon feature-set and learning algorithm. This performance compares favorably with the performance of human judges on the same data and task, which averaged 58.2%. We also discuss current findings on the role of personality factors in deception detection, speaker-dependent models of deception, and future research. This work was done in collaboration with Frank Enos, Columbia University;Elizabeth Shriberg, Andreas Stolcke, and Martin Graciarena, SRI/ICSI; Stefan Benus, Brown University; and more.
关 键 词: 语音分析; 算法学习; 计算机科学
课程来源: 视频讲座网
最后编审: 2021-01-31:nkq
阅读次数: 80