most citedLeveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

eess.AS2025★ 2 cited

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition

Ruoyu Zhao, Xiantao Jiang, F. Richard Yu +3

Speech Emotion Recognition (SER) plays a crucial role in enhancing human-computer interaction. Cross-Linguistic SER (CLSER) has been a challenging research problem due to significa…