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Emotion Recognition research benchmarks – Page 4 · SOTA2 Research

Emotion Recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

SEED-V 5-Class (test)

41.86Balanced Accuracy

10

May 13, 2026

FACED 9-Class (test)

63.52Balanced Accuracy

10

May 13, 2026

81.19Accuracy

10

Mar 10, 2026

68.04Accuracy

10

Jun 30, 2026

26.36Kappa

10

Mar 4, 2026

85.8Weighted F1

10

Feb 26, 2026

INTERFACE (test)

97.7Accuracy

10

Feb 26, 2026

0.345Accuracy

9

Jun 30, 2026

52.99Accuracy

9

Jun 18, 2026

41.26Balanced Accuracy

9

Mar 24, 2026

46.3Balanced Accuracy

9

Mar 24, 2026

71.02Balanced Accuracy

9

Mar 24, 2026

58.19Balanced Accuracy

9

Mar 24, 2026

IEMOCAP full-modality

85.7Weighted Accuracy

9

Feb 26, 2026

Emotion recognition dataset (train)

75.1UA (%)

9

Feb 26, 2026

AffectNet v1 (test)

0.77Valence CCC

9

Feb 26, 2026

AFEW-VA 1.0 (5-fold Cross-val)

0.68PCC (Valence)

9

Feb 26, 2026

Emomusic (test)

72.1Emon Score

9

Feb 26, 2026

RAVDESS (6-fold cross-val)

74.86Accuracy

9

Feb 26, 2026

MELD (held-out)

OMNISAPIENS-7B SFT

71.1F1 Score

8

Feb 26, 2026

27.07Accuracy

8

Feb 26, 2026

33.81Accuracy

8

Feb 26, 2026

RAVDESS (speaker-independent)

wav2vec 2.0 with data augmentation

82.29UAR

8

Jun 4, 2026

DSEE 1.0 (test)

75.1Ha Accuracy

8

Feb 26, 2026

66.12F1 Score

8

Feb 26, 2026

Page 4 of 7

Popular datasets

SEED IEMOCAP CREMA-D DEAP MELD

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