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Voice Prosody and Acoustic Features for Dimensional Emotion Representation

Affective Science

Multimodal Emotion Recognition Research

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Affective Science › Multimodal Emotion Recognition Research

Voice Prosody and Acoustic Features for Dimensional Emotion Representation

This investigation extracts and analyzes acoustic-prosodic features including pitch contours, spectral characteristics, and temporal patterns to map emotions onto dimensional spaces such as valence and arousal. The scientific contribution includes establishing robust voice-based dimensional emotion models that complement categorical emotion frameworks.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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