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Modelling affect in terms of speech parameters.

H H Stassen1

  • 1Psychiatric University Hospital Zurich, Research Department, Switzerland.

Psychopathology
|January 1, 1988
PubMed
Summary
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This study models how affective states change over time using voice analysis. Speech parameters are stable, but their sensitivity varies with text, showing potential for tracking emotional shifts.

Area of Science:

  • Psychology
  • Linguistics
  • Speech Science

Background:

  • The human voice nonverbally conveys affective state.
  • Modeling intraindividual changes in affective state over time requires analyzing voice patterns.

Purpose of the Study:

  • To model intraindividual changes in affective state over time using measurable speech parameters.
  • To assess the reproducibility, sensitivity, and specificity of speech parameters for detecting emotional changes.
  • To investigate the specificity of voice parameters in relation to psychopathology.

Main Methods:

  • Developed a speech-recording procedure where each person serves as their own reference to track intraindividual voice changes.
  • Conducted a calibration study with 190 healthy subjects to evaluate speech parameters.

Related Experiment Videos

  • Performed a pilot study with 6 depressive patients to assess voice parameters in psychopathology.
  • Main Results:

    • Speech parameters demonstrated sufficient stability over time.
    • Significant differences were observed in the sensitivity of speech parameters concerning text form and content.
    • The recording procedure was feasible even with severely ill patients.
    • No consistent correlations were found between individual speech parameters and psychopathological rating scales.

    Conclusions:

    • Speech parameters are stable and can reflect intraindividual affective state changes over time.
    • Sensitivity to text content and form varies among parameters, impacting their utility.
    • While feasible, voice analysis showed limited specificity for psychopathology in this pilot study.