CREMA-D
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Audio-Visual Classification | CREMA-D (test) | Accuracy79.7 | 70 | |
| Emotion Recognition | CREMA-D | Overall Accuracy84.41 | 54 | |
| Multimodal Classification | CREMA-D | Accuracy83.06 | 53 | |
| Emotion recognition | CREMA-D (test) | Accuracy89.15 | 37 | |
| Multimodal Emotion Recognition | CREMA-D (test) | Accuracy73.94 | 30 | |
| Audio Classification | Crema-D | Accuracy78.9 | 26 | |
| Multimodal Classification | CREMA-D (test) | Multi Accuracy80.21 | 25 | |
| Audio-Visual Classification | CREMA-D | Accuracy74.18 | 24 | |
| Speech Emotion Recognition | CREMA-D (test) | Accuracy68.12 | 24 | |
| Discrete Emotion Recognition | CREMA-D 18 (test) | Accuracy55.01 | 19 | |
| Emotion Classification | CREMA-D | F1 (Macro)77.9 | 18 | |
| Emotion Recognition | CREMA-D 6-class | WAR79.36 | 17 | |
| Emotional Text-to-Speech | CREMA-D | Angry Accuracy89.2 | 15 | |
| Audio Classification | CREMA-D 6 | Top-1 Accuracy43.3 | 15 | |
| Mixed-emotion Text-to-Speech | CREMA-D (in-distribution) | Embedding Similarity (E-SIM)0.795 | 15 | |
| Multimodal Emotion Recognition | CREMA-D | Accuracy77.02 | 14 | |
| Speech Emotion Recognition | CREMA-D Subject Dependent (train test) | Macro Accuracy68.27 | 14 | |
| Speech Emotion Recognition | CREMA-D (subject-independent) | Mean Macro Accuracy68.57 | 14 | |
| Categorical Emotion Recognition | CREMA-D | UAR85.71 | 14 | |
| Visual-to-Audio Prediction | CREMA-D (test) | Accuracy70.97 | 13 | |
| Neural Audio Compression | CREMA-D | ViSQOL Score4.32 | 13 | |
| Emotion Preservation | CREMA-D | MEDR1.19 | 13 | |
| Speech Emotion Recognition | CREMA-D 6 classes (test) | Weighted Accuracy (WA)75.2 | 12 | |
| Emotion Recognition | CREMA-D | WA (Weighted Average)56 | 12 | |
| Speech Emotion Recognition | CREMA-D | Weighted Accuracy95.24 | 12 |
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