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Speech Emotion Recognition on IEMOCAP (UA, WA, F1)

83.91UAPL-Distill
56.235663.420370.60577.7897Feb 2, 2026Feb 3, 2026Feb 5, 2026Feb 6, 2026Feb 8, 2026Feb 9, 2026Feb 11, 2026

Evaluation results

MethodLinks
PL-DistillType=Student Models2026.0283.9182.1282.62
LLaVA-KDType=Student Models2026.0281.5680.2880.49
Forward KLType=Student Models2026.0279.3376.7777.22
Reverse KLType=Student Models2026.0279.3278.3478.76
SFTType=Student Models2026.0277.5976.0476.29
RE-LLMModel Type=Speech-LLM, Variant=62026.0276.6——
RE-LLM (w/o dim-emo. aux)Model Type=Ablation, Variant=72026.0274.5——
Whisper large v3Type=Pretrained Models2026.0273.5472.8673.11
RE-LLM (w/o enc.)Model Type=Ablation, Variant=82026.0272.9——
BLSP-EmoModel Type=Speech-LLM, Fine-tuned=true, Variant=52026.0272.8——
BLSP-EmoModel Type=Speech-LLM, Fine-tuned=false, Variant=42026.0271.2——
WavLM largeType=Pretrained Models2026.0269.4769.0769.29
Qwen2-AudioType=Teacher Model2026.0264.3360.3761.61
data2vec 2.0 largeType=Pretrained Models2026.0257.356.2356.7