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Results, in terms of F1-score, for depression detection on the CONVERGE dataset using x-vector embeddings with a CNN classifier as the backend, with and without FrAUG. The best F1-score is boldfaced.
| L,R Configuration | Validation | Test | Data Augmentation |
|---|---|---|---|
| Baseline (L=64ms,R=50%) | 0.676 | 0.654 | None |
| L=32ms, 64ms R=50%, 25% |
0.705 | 0.712 | 3x |
| L=32ms, 64ms R=50%, 25%, 10% |
0.720 | 0.719 | 5x |
| L=32ms, 64ms, 128ms R=50%, 25%, 10% |
0.739 | 0.739 | 8x |
