Identifying Deceptive Speech Across Cultures

Abstract

We have completed our collection of deceptive and non-deceptive speech recorded from interviews between native speaker of Mandarin and of English instructed to answer truthfully or to lie about 24 biographical questions. Subjects were rewarded or penalized financially for their ability to lie (interviewee) or to distinguish truth from lie (interviewer); each subject acted both roles. At 125h (174 subjects), this is by far the largest cleanly recorded speech corpus of its kind. From this data, we find that ability to lie is significantly correlated with ability to detect deception. We also find significant correlations of deception ability with personality factors (extraversion, conscientiousness). Using acoustic-prosodic features, gender, ethnicity and personality information our machine learning experiments can classify truth vs. lie in our data with 65 accuracy; we expect better results when we include lexical features.

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Document Details

Document Type
Technical Report
Publication Date
Jun 25, 2016
Accession Number
AD1012588

Entities

People

  • Julia B. Hirschberg

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Air Force
  • Air Force Research Laboratories
  • Availability
  • Classification
  • Contracts
  • Deception
  • Detection
  • Electronic Mail
  • Intellectual Property
  • Learning
  • Machine Learning
  • New York
  • Patents
  • Personality
  • Scientific Research

Readers

  • Educational Psychology
  • Psychometric Testing or Psychological Assessment.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML