Speech Emotion Recognition on MSP-IMPROV (test) benchmark leaderboard · SOTA2 Research

Speech Emotion Recognition on MSP-IMPROV (test)

57.85Unweighted Accuracy (Audio)Mutual Information Regularized Generative Model

Evaluation Results

Method
Mutual Information Regularized Generative Model2025.10	57.85	40.29	62.84
MMIN2025.10	42.71	56.49	60.98
AE2025.10	42.69	27.62	38.73
bc_LSTM2025.10	42.53	57.39	58.32
CIF-MMIN2025.10	41.56	58.57	61.72
sc_LSTM2025.10	40.91	32.01	41.36
CRA2025.10	38.96	28.37	37.97