SOURCE-LINKED INTELLIGENCE
CRAF: Cross-View Residual-Aware Fusion for Deepfake Speech Detection
Recent advances in speech synthesis and voice conversion have made deepfake speech increasingly realistic, making generalization to unseen spoofing attacks a critical challenge. Pretrained speech and audio models offer a promising direction for improving robustness to such unseen attacks. Self-supervised learning (SSL) models capture fine-grained, low-level acoustic characteristics, whereas Auditory Large Language Models (ALLMs) provide higher-level contextual representations. These complementary views can provide useful cues for improving generalization to unseen attacks. However, direct fusi
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-12T09:56:45.000Z
First collected: 2026-09-20T16:41:15.630Z. This is not the publication date.