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20232025
most citedcross-modal fusion techniques for utterance-level emotion recognition from text and speech

2 citations · 2 across the 4 of their papers we have counts for

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eess.AS2024

1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem

Mingjie Chen, Hezhao Zhang, Yuanchao Li +11

Speech emotion recognition is a challenging classification task with natural emotional speech, especially when the distribution of emotion types is imbalanced in the training and t…

eess.AS2023★ 2 cited

cross-modal fusion techniques for utterance-level emotion recognition from text and speech

Jiachen Luo, Huy Phan, Joshua Reiss

Multimodal emotion recognition (MER) is a fundamental complex research problem due to the uncertainty of human emotional expression and the heterogeneity gap between different moda…