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Beijing Jiaotong University
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Achieving up to 21.58% equal error rates, this method outperforms traditional approaches by effectively disentangling speaker identity from synthesis artifacts.
Fragmented privacy patches are insufficient for Embodied AI: a unified, lifecycle-level approach is needed to prevent systemic privacy leakage in real-world deployments.
