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Zhe Li

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Preprint Oct 2026

TS-SP: Learning Speaker-Preserving Representations in Audio Large Language Models

Audio large language models (ALLMs) can understand speech content, yet their ability to use speaker identity for verification remains limited. We propose TS-SP (Two-Stage Speaker Preservation), a parameter-efficient framework for learning speaker-preserving representations and making them accessible to an ALLM's langua...

Jun-Jie Li, Zheng Liang, Zhe Li et al. · 0 citations
Preprint Sep 2026

Domain-Adaptive Dual-Gating Mixture of Experts for Generalizable Speech Deepfake Detection

This work proposes a novel domain-adaptive dual-gating MoE framework for SDD under unseen attack types and acoustic conditions that significantly outperforms the baseline and demonstrates superior generalization capabilities and efficient design.

Si-Qing Qin, Zhe Li, K. Lee et al. · 0 citations
Preprint Aug 2026

Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning

Manifold-Constrained Hyper-Connections (mHC) is introduced, reformulat- ing residual paths as a multi-stream evolution where informa- tion is mixed through a doubly stochastic matrix, highlighting its effectiveness for robust speaker representation learning.

Zezhong Jin, Xiaoyu Wang, Zhe Li et al. · 0 citations

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