SpeechAntiSpoofingBenchmarks/InTheWild
In-the-Wild Audio Deepfake Dataset Benchmark-ready packaging of the In-the-Wild audio deepfake dataset for speech anti-spoofing / synthetic-voice detection. Overview In-the-Wild (Müller et al., Does Audio Deepfake Detection Generalize?, arXiv 2203.16263) pairs genuine speech with audio deepfakes of politicians and public figures, collected from publicly available sources. It is a cross-domain generalization benchmark: models trained on lab datasets (e.g. ASVspoof)… See the full description on the dataset page: https://huggingface.co/datasets/SpeechAntiSpoofingBenchmarks/InTheWild.
| Author / organization | SpeechAntiSpoofingBenchmarks |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 2K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 30 May 2026 |
| Last updated at source | 27 June 2026 |
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