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首页> 外文会议>IEEE International Conference on Acoustics, Speech and Signal Processing >Identifying Truthful Language in Child Interviews
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Identifying Truthful Language in Child Interviews

机译：在儿童访谈中识别真实的语言

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摘要

When a child is suspected to be the victim or sole witness of a crime, the manner in which information is gathered from the child becomes critical. A child forensic interview is the guided conversation that a legal expert conducts to elicit reliable information from a child. To help substantiate child testimony, it is important to discern characteristics of truthful and deceptive behavior in these interviews. The work presented uses various machine learning algorithms to identify differences in the speech of children when they are lying or being truthful, particularly when they have been asked by a confederate to deceive an interviewer. Results show that vocabulary and psycho-linguistic norms of a child’s language use, in response to directed questions, provide substantial information to outperform human adults in detecting truthful statements.
机译：当怀疑儿童是犯罪的受害者或唯一证人时，从儿童那里收集信息的方式就变得至关重要。儿童法医访谈是法律专家进行的引导式对话，以从儿童那里获得可靠的信息。为了帮助证实儿童的证词，在这些访谈中辨别真实和欺骗行为的特征很重要。呈现的作品使用各种机器学习算法来识别孩子说谎或诚实时的言语差异，尤其是在同盟者要求他们欺骗访调员时。结果表明，针对有针对性的问题，儿童使用语言的词汇和心理语言规范提供了实质性信息，从而在检测真实陈述时胜过了成年人。

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