nii-yamagishilab
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wav2vec-small-anti-deepfake-nda

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nii-yamagishilab commited on Oct 21, 2025

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@@ -183,7 +183,7 @@ Results shown below can be reproduced using scripts provided in our [GitHub repo
 | FakeOrReal           | 0.999   | 0.956    | 0.997     | 0.913  | 0.953    | 0.003 | 0.087 | 1.06 @ 0.0430        |
 | FakeOrReal-norm      | 0.982   | 0.931    | 0.941     | 0.916  | 0.928    | 0.055 | 0.084 | 6.48 @ 0.3893        |
 | In-the-Wild          | 0.990   | 0.957    | 0.945     | 0.989  | 0.967    | 0.096 | 0.011 | 4.65 @ 0.9497        |
-| Deepfake-Eval-2024  | 0.802   | 0.708    | 0.691     | 0.963  | 0.804    | 0.713 | 0.037 | 28.19 @ 0.9991       |
 You can also fine-tune this model on a specific database, the corresponding code is provided in our [GitHub repository](https://github.com/nii-yamagishilab/AntiDeepfake). Fine-tuning will follow a similar process to training a new model, except that model weights will be initialized as AntiDeepfake checkpoints.

 | FakeOrReal           | 0.999   | 0.956    | 0.997     | 0.913  | 0.953    | 0.003 | 0.087 | 1.06 @ 0.0430        |
 | FakeOrReal-norm      | 0.982   | 0.931    | 0.941     | 0.916  | 0.928    | 0.055 | 0.084 | 6.48 @ 0.3893        |
 | In-the-Wild          | 0.990   | 0.957    | 0.945     | 0.989  | 0.967    | 0.096 | 0.011 | 4.65 @ 0.9497        |
+| Deepfake-Eval-2024  | 0.759   | 0.701    | 0.696     | 0.962  | 0.808    | 0.793 | 0.038 | 31.97 @ 0.9995       |
 You can also fine-tune this model on a specific database, the corresponding code is provided in our [GitHub repository](https://github.com/nii-yamagishilab/AntiDeepfake). Fine-tuning will follow a similar process to training a new model, except that model weights will be initialized as AntiDeepfake checkpoints.