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Emotion Recognition on IEMOCAP, MELD, RADESS, SAVEE Average

68.89Average AccuracyEmotionThinker
17.264430.667244.0757.4728Jan 22, 2026

Evaluation results

MethodLinks
EmotionThinkerModel Category=Omni Large Language Models2026.0168.89
BLSP-EmoModel Category=Emotion Focused Speech Large Language Models2026.0165.41
Kimi-AudioModel Category=General Speech Large Language Models2026.0158.83
Qwen-Audio-ChatModel Category=General Speech Large Language Models2026.0154.86
Qwen2-Audio-InstructModel Category=General Speech Large Language Models2026.0151.14
Qwen2.5-Omni-7BModel Category=Omni Large Language Models2026.0150.83
MERaLiON2Model Category=General Speech Large Language Models2026.0146.09
OSUM-EChatModel Category=Emotion Focused Speech Large Language Models2026.0144.04
MiniCPM-OModel Category=Omni Large Language Models2026.0143.6
BLSPModel Category=General Speech Large Language Models2026.0136.02
MERaLiONModel Category=General Speech Large Language Models2026.0133.09
SECapModel Category=Emotion Focused Speech Large Language Models2026.0132.64
Phi-4-MultimodalModel Category=Omni Large Language Models2026.0132.15
DIVAModel Category=General Speech Large Language Models2026.0131.87
SALMONNModel Category=General Speech Large Language Models2026.0125.61
GLM-4-VoiceModel Category=General Speech Large Language Models2026.0121.29
Megrez-3B-OmniModel Category=Omni Large Language Models2026.0119.25