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Acoustic Correlates of Discrete Emotion Recognition in Speech

Affective Science

Affective Voice Analysis & Prosody Research

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Affective Science › Affective Voice Analysis & Prosody Research

Acoustic Correlates of Discrete Emotion Recognition in Speech

This research investigates the specific acoustic features (pitch, duration, intensity, formant frequencies) that reliably distinguish discrete emotional states in vocal expression. The findings advance our understanding of the phonetic signatures of emotion and enable development of more accurate computational emotion recognition systems.

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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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