Speech Emotion Recognition on RAVDESS

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Accuracy

Rank	Model	Accuracy	F1 Score	Precision	Recall	F1	Extra Training Data	Paper	Code	Year
1	DCRF-BiLSTM 자동 추출	95.10	–	–	–	–		A Novel Hybrid Deep Learning Technique for Speech Emotion Detection using Feature Engineering		2025
2	EmoAugNet 자동 추출	91.28	–	–	–	–		EmoAugNet: A Signal-Augmented Hybrid CNN-LSTM Framework for Speech Emotion Recognition		2025
3	Distilled HuBERT for Mobile Speech Emoti 자동 추출	91	–	–	–	–		Distilled HuBERT for Mobile Speech Emotion Recognition: A Cross-Corpus Validation Study		2025
4	VQ-MAE-S-12 (Frame) + Query2Emo	84.1	–	–	–	0.844		A vector quantized masked autoencoder for speech emotion recognition	samsad35/VQ-MAE-S-code	2023
5	CNN-X (Shallow CNN)	82.99%	0.82	0.82	0.82	–		Shallow over Deep Neural Networks: A empirical analysis for human emotion classification using audio data		2020
6	xlsr-Wav2Vec2.0(FineTuning)	81.82%	–	–	–	–	✓	A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS dataset	cristinalunaj/MMEmotionRecognition	2021
7	CNN-14 (Fine-Tuning)	76.58%	–	–	–	–	✓	Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning		2021
8	AlexNet (FineTuning)	61.67%	–	–	–	–	✓	Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning		2021
9	VQ-MAE-S-12 (Frame) + Query2Emo	84.1	–	–	–	0.844		A vector quantized masked autoencoder for speech emotion recognition	samsad35/VQ-MAE-S-code	2023
10	CNN-X (Shallow CNN)	82.99%	0.82	0.82	0.82	–		Shallow over Deep Neural Networks: A empirical analysis for human emotion classification using audio data		2020
11	xlsr-Wav2Vec2.0(FineTuning)	81.82%	–	–	–	–	✓	A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS dataset	cristinalunaj/MMEmotionRecognition	2021
12	CNN-14 (Fine-Tuning)	76.58%	–	–	–	–	✓	Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning		2021
13	AlexNet (FineTuning)	61.67%	–	–	–	–	✓	Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning		2021