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Eyad Megdadi

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Open access 2026

A Hybrid SMOTE-Ensemble Framework for Robust Speech Emotion Recognition on Imbalanced Data

This study reproduces the work of Sahu et al. on multimodal Speech Emotion Recognition using the Interactive Emotional Dyadic Motion Capture (IEMOCAP) dataset and proposes a Hybrid SMOTE-Ensemble Framework to improve classification performance on imbalanced data.

Eyad Megdadi, Mariam Aljouhi, Zainab Alblooshi et al. · 0 citations

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