Emotion Recognition on RAVDESS

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Accuracy

Rank	Model	Accuracy	WAR	Extra Training Data	Paper	Code	Year
1	EmoAugNet 자동 추출	91.28	–		EmoAugNet: A Signal-Augmented Hybrid CNN-LSTM Framework for Speech Emotion Recognition		2025
2	Distilled HuBERT for Mobile Speech Emoti 자동 추출	91	–		Distilled HuBERT for Mobile Speech Emotion Recognition: A Cross-Corpus Validation Study		2025
3	LogisticRegression on posteriors of xlsr-Wav2Vec2.0&bi-LSTM+Attention	86.70%	–	✓	A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS dataset	cristinalunaj/MMEmotionRecognition	2021
4	Intermediate-Attention-Fusion	81.58%	–		Self-attention fusion for audiovisual emotion recognition with incomplete data	katerynaCh/multimodal-emotion-recognition · shravan-18/AVTCA	2022
5	Logistic Regression on posteriors of the CNN-14&biLSTM-GuidedST	80.08%	–	✓	Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning		2021
6	ERANN-0-4	74.8	–		ERANNs: Efficient Residual Audio Neural Networks for Audio Pattern Recognition		2021
7	MultiMAE-DER	–	83.61%		MultiMAE-DER: Multimodal Masked Autoencoder for Dynamic Emotion Recognition	Peihao-Xiang/MultiMAE-DFER	2024