DF Arena 500M Antispoofing Model We are excited to release DF Arena 500M Universal Antispoofing model 🔥trained on traditional speech antispoofing datasets in addition to singing and environmental deepfake data. Check out the release on DF Arena leaderboard Training Data ASVspoof 2019, 2024 Codecfake LibriSeVoc DFADD CTRSVDD SpoofCeleb MLAAD EnvSDD Usage Evaluation Evaluation Dataset EER (%) F1 score Accuracy (%) dfadd 0.00 0.9993 99.97 add 2023 round 2 12.30 0.9133 87.70 codecfake 6.36 0.8997 93.65 asvspoof 2021 la 4.23 0.8191 95.77 in the wild 1.76 0.9860 98.24 asvspoof 2019 1.09 0.9494 98.91 add 2022 track 1 23.98 0.6453 76.02 fake or real 2.30 0.9773 97.73 asvspoof 2024 12.39 0.7423 87.61 add 2022 track 3 2.77 0.9200 97.23 add 2023 round 1 7.47 0.9465 92.53 librisevoc 0.12 0.9955 99.87 asvspoof 2021 df 3.30 0.6200 96.70 sonar 1.90 0.9837 98.13 Average 5.78 0.884 94.19 Pooled 10.88 0.78 89.11 License We use a non commercial license which can be found here Contact For questions or issues, please open an issue on the model repository or contact us at speech.arena.eval@gmail.com. Stay tuned for upcoming versions of our models! Citation If you use this model in your work, it can be…
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