Transferability analysis finds that minimal sufficient signals transfer across audio models at rates varying by task, around 26% for music genre classification, with some deepfake models showing distinct behaviors not visible in accuracy metrics.
Pitch imperfect: Detecting audio deepfakes through acoustic prosodic analysis
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ProSDD learns speaker-conditioned prosodic variation from real speech via supervised masked prediction and jointly optimizes it with spoof detection, cutting EER substantially on ASVspoof 2024 and emotional datasets.
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If It's Good Enough for You, It's Good Enough for Me: Transferability of Audio Sufficiencies across Models
Transferability analysis finds that minimal sufficient signals transfer across audio models at rates varying by task, around 26% for music genre classification, with some deepfake models showing distinct behaviors not visible in accuracy metrics.
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ProSDD: Learning Prosodic Representations for Speech Deepfake Detection against Expressive and Emotional Attacks
ProSDD learns speaker-conditioned prosodic variation from real speech via supervised masked prediction and jointly optimizes it with spoof detection, cutting EER substantially on ASVspoof 2024 and emotional datasets.