A 260-hour emotional deepfake benchmark spanning 21 attack systems shows state-of-the-art speech deepfake detectors degrade badly on emotionally expressive and LALM-based spoofing.
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
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AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks
A 260-hour emotional deepfake benchmark spanning 21 attack systems shows state-of-the-art speech deepfake detectors degrade badly on emotionally expressive and LALM-based spoofing.