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Dataset · Hugging Face

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 / organizationSpeechAntiSpoofingBenchmarks
License (as declared)apache-2.0
Downloads2K (as reported by Hugging Face)
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Created30 May 2026
Last updated at source27 June 2026
anti-spoofingaudio-deepfake-detectionspeechbenchmarkarena-ready
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