DDPO-VC applies diffusion denoising policy optimization with dual-teacher rewards to improve speaker de-identification while preserving cognitive utility on dementia speech benchmarks.
Leveraging pretrained representations with task-related keywords for alzheimer’s disease detection,
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DeTAiL uses internal representations from reasoning MLLMs via an adaptor and RL to outperform text-rationale methods and baselines for speech-based dementia classification on two datasets.
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DDPO-VC: Speaker De-Identification via Diffusion Denoising Policy Optimization
DDPO-VC applies diffusion denoising policy optimization with dual-teacher rewards to improve speaker de-identification while preserving cognitive utility on dementia speech benchmarks.
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Do Multimodal Large Language Models Need Reasoning to Classify Dementia from Speech?
DeTAiL uses internal representations from reasoning MLLMs via an adaptor and RL to outperform text-rationale methods and baselines for speech-based dementia classification on two datasets.