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Dataset · Hugging Face

SpeechAntiSpoofingBenchmarks/ADD22_eval_31

ADD 2022 — Track 3 (Audio Fake Game), Round 1 Test · labels only Benchmark-ready packaging of the Round 1 (R1) evaluation partition of Track 3 (Audio Fake Game / FG) from the ADD 2022 challenge (arXiv 2202.08433). Binary anti-spoofing: bonafide (genuine human speech) vs. spoof (synthesized / fake speech). ⚠️ Labels only — the audio is not redistributed here The ADD 2022 audio is licensed CC BY-NC-ND 4.0 (NonCommercial-NoDerivatives), which does not permit us to… See the full description on the dataset page: https://huggingface.co/datasets/SpeechAntiSpoofingBenchmarks/ADD22_eval_31.

Author / organizationSpeechAntiSpoofingBenchmarks
License (as declared)cc-by-nc-nd-4.0
Downloads653 (as reported by Hugging Face)
Likes0
Created31 May 2026
Last updated at source27 June 2026
anti-spoofingaudio-deepfake-detectionspeechbenchmarkarena-ready
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