Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Speech content analysis in feigned depression.

Michael Cannizzaro1, Nicole Reilly, Peter J Snyders

  • 1Voice Acoustics Laboratory, Clinical Technology, Pfizer Global Research and Development, Groton, CT, USA.

Journal of Psycholinguistic Research
|September 14, 2004
PubMed
Summary

Computerized speech analysis may help detect feigned depression by analyzing lexical choices. Healthy adults faking depression showed significant differences in

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hungry for equity in the Green Mountain State: food insecurity among college students in Vermont.

BMC public health·2026
Same author

Engagement, Acceptability, and Impact of a Parenting App to Support Infant Sleep and Parent Well-Being: Quasi-Experimental Study.

JMIR pediatrics and parenting·2026
Same author

Antenatal intimate partner violence and breastfeeding practices: Evidence from a national longitudinal study in Ethiopia.

PloS one·2026
Same author

Barriers and Enablers to Implementing Community Sports-Based Mental Health Promotion Initiatives: A Qualitative Study.

Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals·2025
Same author

Turkish adaptation of the antenatal risk questionnaire-revised: study of validity and reliability.

BMC psychology·2024
Same author

Emotional health screening of mothers, preliminary validation of a 3-item instrument: A research brief.

Applied nursing research : ANR·2024

Area of Science:

  • Psychology
  • Computational Linguistics
  • Forensic Psychology

Background:

  • Detecting feigned depression is crucial in forensic and clinical settings.
  • Traditional methods for assessing depression may be vulnerable to malingering.
  • Computerized speech content analysis offers a potential objective tool for deception detection.

Purpose of the Study:

  • To evaluate the effectiveness of computerized speech content analysis in identifying feigned depression among healthy adults.
  • To explore specific semantic and lexical features in speech that differentiate genuine emotional states from simulated depression.

Main Methods:

  • Twenty-two psychologically healthy adults with low Beck Depression Inventory scores participated.
  • Participants provided free speech samples under two conditions: control and feigned depression.
  • Speech transcripts were analyzed using computerized content analysis software, focusing on lexical choices and semantic categories.

Main Results:

  • A significant difference was found in the semantic category 'tool' between feigned depression and control conditions.
  • The semantic category 'arousal' showed a strong trend toward significance.
  • Previously identified depression-related lexical categories did not significantly differ in the feigning condition.

Conclusions:

  • Computerized speech content analysis, particularly focusing on specific semantic categories like 'tool', shows potential for detecting feigned depression.
  • Further research is needed to refine these methods and validate findings across diverse populations.
  • This approach may offer a supplementary tool for forensic and clinical evaluations of depression authenticity.

Related Experiment Videos