Dataset · Hugging Face

mueller91/ReplayDF

Name: ReplayDF
Creator: mueller91
License: cc-by-nc-4.0
Keywords: task_categories:audio-classification, language:en, language:fr, language:de, language:pl, language:es, language:it, license:cc-by-nc-4.0, size_categories:100K<n<1M, modality:audio, arxiv:2505.14862, region:us, ReplayDF, Audio-Deepfake, Replay-Attack

ReplayDF ReplayDF is a dataset for evaluating the impact of replay attacks on audio deepfake detection systems. It features re-recorded bona-fide and synthetic speech derived from M-AILABS and MLAAD v5, using 109 unique speaker-microphone combinations across six languages and four TTS models in diverse acoustic environments. This dataset reveals how such replays can significantly degrade the performance of state-of-the-art detectors. That is, audio deepfakes are detected much… See the full description on the dataset page: https://huggingface.co/datasets/mueller91/ReplayDF.

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Author / organization	mueller91
License (as declared)	cc-by-nc-4.0
Downloads	3K (as reported by Hugging Face)
Likes	7
Created	21 May 2025
Last updated at source	10 June 2025

ReplayDFAudio-DeepfakeReplay-AttackSpoofReplay

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