Detecting Deceptive Speech

author: Julia Hirschberg, Department of Computer Science, Columbia University
recorded by: Center for Language and Speech Processing
published: Feb. 15, 2012,   recorded: October 2007,   views: 2772
Categories

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

Description

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.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: