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Acoustic characteristics of vocal emotions simulated by actors.

S P Whiteside1

  • 1Department of Human Communication Sciences, University of Sheffield, UK. s.whiteside@sheffield.ac.uk

Perceptual and Motor Skills
|March 11, 2000
PubMed
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This study analyzed acoustic features of vocal emotions like anger and happiness in acted speech. Findings reveal distinct vocal patterns for different emotions, with some similarities between speakers.

Area of Science:

  • Speech Science
  • Acoustic Phonetics
  • Psychology of Emotion

Background:

  • Vocal emotion recognition is crucial for human interaction.
  • Objective acoustic analysis provides quantifiable data on emotional expression.
  • Skilled actors offer controlled simulations for studying vocal cues.

Purpose of the Study:

  • To investigate acoustic correlates of seven simulated emotions (Neutral, Cold Anger, Hot Anger, Happiness, Sadness, Interest, Elation).
  • To compare acoustic measures between a male and female actor simulating these emotions.
  • To identify reliable acoustic features indicative of specific emotional states in speech.

Main Methods:

  • Digitized audio recordings of 168 sentences (2 speakers x 12 sentences x 7 emotions).
  • Analysis of acoustic measures: mean energy, energy standard deviation, mean fundamental frequency (F0), mean formant frequencies (F1-F6) and bandwidths, utterance duration, and articulation rate.

Related Experiment Videos

  • Statistical comparison of acoustic measures across emotions and speakers.

    • Main Results:

    • Significant differences in acoustic measures were observed across the simulated emotions.
    • Specific acoustic features, such as fundamental frequency and energy, varied distinctively with emotion.
    • Both shared and speaker-specific acoustic patterns emerged for the simulated emotional expressions.

    Conclusions:

    • Acoustic analysis can differentiate acted vocal emotions.
    • Vocal emotion simulation exhibits both universal and individual characteristics.
    • Findings contribute to understanding the acoustic basis of emotional communication in speech.