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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

Recent advances in speech deepfake detection (SDD) have leveraged the Mixture of Experts (MoE) to enhance generalization capacity. However, existing gating networks often overlook the acoustic and temporal cues of deepfakes. In this work, we propose a novel domain-adaptive dual-gating MoE (DADGMoE) framework for SDD un...

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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