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@@ -38,7 +38,7 @@ In this spoof detection dataset, the bonafide speech is resynthesized using vari
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  This dataset can be seen as a very challenging extension to the ASVspoof 5 dataset [1, 2] that aligns the field more closely with upcoming challenges in the real world. For compatibility, we follow the design of the data and the dev and test splits with 50% of speakers overlapping the train set and 50% being completely unseen. A publication associated with this dataset is currently under review.
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- To reproduce our results or compare on the exact same splits, please use the version we provide at https://zenodo.org/records/17225924 which is a subset of this repository that is formatted in accordance to the ASVspoof protocols.
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  | Attacker | Codec | Parameters | Applied to Bonafide | Link |
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  |-------------------|-------------------------|------------|---------------------|----------------------------------------------------|
 
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  This dataset can be seen as a very challenging extension to the ASVspoof 5 dataset [1, 2] that aligns the field more closely with upcoming challenges in the real world. For compatibility, we follow the design of the data and the dev and test splits with 50% of speakers overlapping the train set and 50% being completely unseen. A publication associated with this dataset is currently under review.
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+ The huggingface version of this dataset contains all the generated audio and the seed bonafide audio used to generate them. To reproduce our results or compare on the exact same splits, please use the version we provide at https://zenodo.org/records/17225924 which includes additionally the bonafide audio used in the dev and test splits.
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  | Attacker | Codec | Parameters | Applied to Bonafide | Link |
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  |-------------------|-------------------------|------------|---------------------|----------------------------------------------------|