English

Decoding Emotion: Speech Perception Patterns in Individuals with Self-reported Depression

Computation and Language 2024-12-31 v1 Artificial Intelligence

Abstract

The current study examines the relationship between self-reported depression and the perception of affective speech within the Indian population. PANAS and PHQ-9 were used to assess current mood and depression, respectively. Participants' emotional reactivity was recorded on a valence and arousal scale against the affective speech audio presented in a sequence. No significant differences between the depression and no-depression groups were observed for any of the emotional stimuli, except the audio file depicting neutral emotion. Significantly higher PANAS scores by the depression than the no-depression group indicate the impact of pre-disposed mood on the current mood status. Contrary to previous findings, this study did not observe reduced positive emotional reactivity by the depression group. However, the results demonstrated consistency in emotional reactivity for speech stimuli depicting sadness and anger across all measures of emotion perception.

Cite

@article{arxiv.2412.20213,
  title  = {Decoding Emotion: Speech Perception Patterns in Individuals with Self-reported Depression},
  author = {Guneesh Vats and Priyanka Srivastava and Chiranjeevi Yarra},
  journal= {arXiv preprint arXiv:2412.20213},
  year   = {2024}
}
R2 v1 2026-06-28T20:50:44.851Z