| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| ASVspoof logical access (LA) 2019 (eval) | RawGAT-ST (mul) | min-tDCF0.0335 | 21 | 1mo ago | |
| ASVspoof 5 (evaluation) | QAF-Static | EER5.68 | 15 | 1mo ago | |
| EmoSpoof | ProSDD | EER9.54 | 12 | 3d ago | |
| EmoFake | ProSDD | EER3.7 | 12 | 3d ago | |
| FakeOrReal | XLS-R-1B | EER13 | 9 | 1mo ago | |
| FSW | XLS-R-1B | EER (%)6.47 | 7 | 1mo ago | |
| DV | XLS-R-1B | EER0.86 | 7 | 1mo ago | |
| ODSS | EER (%)1.13 | 7 | 1mo ago | ||
| ADD ASVspoof 2023 | XLS-R-1B | EER2.25 | 7 | 1mo ago | |
| ADD ASVspoof 2022 | XLS-R-300M | EER0.82 | 7 | 1mo ago | |
| EF | XLS-R-1B | EER10 | 7 | 1mo ago | |
| Deepfake-Eval 2024 | WST-X1 | minDCF0.3408 | 6 | 1mo ago | |
| FSW | XLS-R-1B | ACC92.77 | 6 | 1mo ago | |
| DV | XLS-R-300M | Accuracy96.54 | 6 | 1mo ago | |
| ADD23 | XLS-R-300M | Accuracy97.09 | 6 | 1mo ago | |
| ADD 22 | XLS-R-300M | Accuracy99.38 | 6 | 1mo ago | |
| EF | XLS-R-1B | Accuracy99.51 | 6 | 1mo ago | |
| FOR | XLS-R-1B | Accuracy99.78 | 6 | 1mo ago | |
| Commercial APIs Challenge Set latest (test) | XLS-R-1B | Average Score0.9601 | 3 | 1mo ago | |
| TIMIT TTS | EER18.59 | 2 | 1mo ago |
