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Preprint Sep 2026

RemixIT-TSE: Progressive Synthetic-to-Real Adaptation for Target Speech Extraction via Target-Aware Supervision and Remixing

Target Speech Extraction (TSE) in real-world conversational scenarios suffers from severe performance degradation due to the domain gap between synthetic training data and complex acoustic environments, where signal-level ground truth is typically unavailable. To address this challenge, we make the first attempt to ext...

Yu Wang, Hai-Xin Guan, Shuang Wei et al. · 0 citations
Open access Sep 2026

Zero-shot emotional speech synthesis based on feature decoupling and adaptive loss-threshold reweighting

Deep learning-based zero-shot speech synthesis has achieved substantial progress in speaker generalization, but stable modeling remains challenging in fine-grained emotional scenarios. Existing systems often process textual and emotional conditions through shared or closely coupled pathways, which may introduce interfe...

Yan Zhu, Yu Wang, Yi-Jin Zhou et al. · 0 citations

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