CREMA-D
Benchmarks
TaskDatasetSOTA resultTrendResults
CREMA-D
70.47Accuracy
11
CREMA-D (clean split)
71.1Accuracy
10
CREMA-D (test)
75.17Accuracy
10
CREMA-D Target
52.99Accuracy
9
CREMA-D alpha=2.0 synthetic irony class 3-fold (val)
55.5Total F1 Score
9
CREMA-D alpha=1.0 synthetic irony class (3-fold cross-validation)
59.6Total F1
9
CREMA-D synthetic irony class alpha=0.5 (3-fold cross-validation)
60.8Total F1 Score
9
CREMA-D alpha=0.1 synthetic irony class (3-fold cross-val)
63.7Total F1
9
CREMA-D (test)
45.06Accuracy
9
CREMA-D
5.29FID
9
CREMA-D Speech
84.9Score
8
CREMA-D
72.18Accuracy
8
CREMA-D (Evaluation)
93.8AUC
8
CREMA-D (test)
1SSIM
8
CREMA-D 6-class (test)
85.03WAR
8
CREMA-D anger detection
0.83AUC-ROC
7
CREMA-D
70.02Accuracy (Clean)
7
CREMA-D
0.606NLL (MA)
7
CREMA-D
0.17JS Divergence
6
CREMA-D
61.11Audio Accuracy
6
CREMA-D (test)
72.18Accuracy
5
CREMA-D
0.846AITV
5
CREMA-D
40.6WA
5
CREMA-D NMA (test)
0.657AUROC
5
CREMA-D (test)
73.1Accuracy
5