LRLspoof corpus and threshold-transfer evaluation demonstrate that spoof detection performance varies markedly across languages, identifying language as an independent domain shift factor.
Add 2022: the first audio deep synthe- sis detection challenge,
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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.
citing papers explorer
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When Spoof Detectors Travel: Evaluation Across 66 Languages in the Low-Resource Language Spoofing Corpus
LRLspoof corpus and threshold-transfer evaluation demonstrate that spoof detection performance varies markedly across languages, identifying language as an independent domain shift factor.
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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.