DiffAnon introduces the first diffusion model for voice anonymization that supplies structured, continuous, inference-time control over prosody preservation via classifier-free guidance on RVQ semantic embeddings.
• The Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via the ARTS Program, Contract #D2023-2308110001
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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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DiffAnon: Diffusion-based Prosody Control for Voice Anonymization
DiffAnon introduces the first diffusion model for voice anonymization that supplies structured, continuous, inference-time control over prosody preservation via classifier-free guidance on RVQ semantic embeddings.
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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.