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Dataset · Hugging Face

abdulahh35/ANC-Spoof

ANC-Spoof: Audio Neural Codec Spoof Dataset Overview ANC-Spoof (Audio Neural Codec Spoof Dataset) is a large-scale dataset designed to facilitate research on the robustness of Audio Deepfake Detection (ADD) systems against distortions introduced by neural audio codecs. Neural audio codecs have recently emerged as important components in modern speech technology, serving both as efficient compression mechanisms and as resynthesis components in emerging audio… See the full description on the dataset page: https://huggingface.co/datasets/abdulahh35/ANC-Spoof.

Author / organizationabdulahh35
License (as declared)cc-by-4.0
Downloads202 (as reported by Hugging Face)
Likes0
Created5 October 2026
Last updated at source5 October 2026
audiospeechaudio-deepfake-detectionspoof-detectionaudio-neural-codecscodec-compression
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