A late-fusion dense network using TF-IDF, audio statistics, XGBoost stacking, and oversampling is claimed to reach 92.55% accuracy on six-class IEMOCAP, exceeding published transformer baselines.
On the efficiency of multimodal architectures: A case study in sentiment analysis,
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Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture
A late-fusion dense network using TF-IDF, audio statistics, XGBoost stacking, and oversampling is claimed to reach 92.55% accuracy on six-class IEMOCAP, exceeding published transformer baselines.