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Encoder-free speech modeling can rival traditional methods, challenging the necessity of dedicated speech encoders in LLM architectures.
ASR-driven data augmentation boosts Alzheimer's detection accuracy by over 4%, showcasing the potential of synthetic speech in clinical diagnostics.
FLAME uncovers a hidden statistical energy gap in AI-generated images, enabling precise localization of forgeries that traditional methods miss.
