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Multimodal Emotion Recognition On Iemocap 4

評価指標

Accuracy
F1

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
Accuracy
F1
Paper TitleRepository
Self-attention weight correction (A+T)76.876.85Speech Emotion Recognition Based on Self-Attention Weight Correction for Acoustic and Text Features-
Audio + Text (Stage III)-70.5HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition-
PATHOSnet v280.478Combining deep and unsupervised features for multilingual speech emotion recognition
MultiMAE-DER--MultiMAE-DER: Multimodal Masked Autoencoder for Dynamic Emotion Recognition
MMER81.7-MMER: Multimodal Multi-task Learning for Speech Emotion Recognition
COGMEN--COGMEN: COntextualized GNN based Multimodal Emotion recognitioN
GraphSmile86.53-Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition
bc-LSTM--0/1 Deep Neural Networks via Block Coordinate Descent-
DANN82.7-Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition-
CHFusion76.576.8Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling
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