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Updated: May 17, 2026

Assessing the Coherence of Parents' Short Narratives Regarding their Child Using the Five-Minute Speech Sample Procedure
Published on: September 19, 2019
[On the dynamics of psychological functioning through speech analysing]
S Combaluzier1, B Gouvernet, A Galland
1Laboratoire PsyNCA (EA4306), département de psychologie, université de Rouen, 1, rue Lavoisier, 76821 Mont-Saint-Aignan cedex, France. Serge.Combaluzier@univ-rouen.fr
Automatic speech analysis reveals four linguistic indicators correlating with personality cohesion in non-clinical subjects. In schizophrenic patients, the absence of these correlations indicates dissociative syndrome.
Area of Science:
- Psycholinguistics
- Clinical Psychology
- Computational Linguistics
Context:
- Theoretical models link linguistic features to cognitive, emotional, and behavioral activity.
- Automatic speech analysis offers objective linguistic indicators for psychological assessment.
Purpose:
- To investigate the clinical utility of four specific linguistic indicators derived from automatic speech analysis.
- To differentiate between non-clinical and schizophrenic populations using these indicators.
Summary:
- The study analyzed Thematic Apperception Test (TAT) narratives from non-clinical and schizophrenic groups.
- Linguistic indicators showed high coherence and correlation in non-clinical subjects, supporting personality cohesion.
- Absence of correlation in schizophrenic subjects indicated dissociative syndrome, with affective indifference and increased behavioral activity during mentalization failure.
Impact:
- The findings suggest the potential of automatic speech analysis as a reliable tool for psychological assessment.
- This method may aid in understanding dissociative syndromes and personality dynamics.
- Further research is needed to validate the method by correlating linguistic indicators with story production time.
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