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Shehzad Khalid

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Open access 2026

Multimodal Emotion Recognition in Urdu through Late Fusion of Fine-Tuned Speech and Text Representations

This study proposes a multimodal deep learning framework for Urdu emotion recognition by integrating speech and text modalities that surpasses the existing UMEDNet benchmark, demonstrating the effectiveness of transformer-based feature extraction and multimodal late fusion for Urdu emotion recognition.

Muhammad Sheraz, Adil Majeed, Shehzad Khalid et al. · 0 citations

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