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Updated: Aug 28, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
Published on: August 9, 2024
Evaluating voice samples as a potential source of information about personality
Zachariah N K Marrero1, Samuel D Gosling2, James W Pennebaker1
1Department of Psychology, University of Texas, Austin, USA.
Voice analysis can predict personality traits and other psychological factors. This study shows vocal and linguistic features from speech samples offer insights into personality, depression, age, and gender.
Area of Science:
- Psychology
- Linguistics
- Computer Science
Background:
- Speech is a rich medium for psychological expression.
- Non-self-report measures of personality are valuable.
- Voice analysis offers a novel approach to personality assessment.
Purpose of the Study:
- To evaluate voice samples as non-self-report personality measures.
- To determine if linguistic and vocal features predict personality traits.
- To compare voice-based predictions with those for depression, age, and gender.
Main Methods:
- Extracted 94 linguistic and 272 vocal features from 614 voice samples.
- Utilized Linguistic Inquiry Word Count and pyAudioAnalysis tools.
- Employed a two-stage, automated machine learning pipeline to predict Big Five Inventory personality scales.
Main Results:
- Voice samples accounted for an average of 10.67% of personality trait variance.
- Voice features also predicted depression, age, and gender.
- Results offer a conservative estimate of voice-based personality prediction.
Conclusions:
- Voice analysis is a promising tool for non-self-report personality assessment.
- Further optimization can enhance personality prediction accuracy from voice.
- Speech carries significant information about individual psychological characteristics.
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