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Disentangling Speaker Traits for Deepfake Source Verification via Chebyshev Polynomial and Riemannian Metric Learning

Xi Xuan, Wenxin Zhang, Zhiyu Li, Jennifer Williams, Ville Hautamäki, Tomi H. Kinnunen · Mar 23, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 28% Sparse protocol signal Freshness: Warm Status: Ready
Coding
  • Experimental results on MLAAD benchmark, evaluated under four newly proposed protocols designed for source-speaker disentanglement scenarios, demonstrate the effectiveness of SDML framework.
  • The code, evaluation protocols and demo website are available at https://github.com/xxuan-acoustics/RiemannSD-Net.
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