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Xin-Fa Zhu

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Preprint Sep 2026

Interactive TTS: Dynamic Speaking Style Adaptation for Expressive Speech Synthesis

Dynamic speaking style adaptation in multi-turn multimodal interaction remains a major challenge for text-to-speech (TTS) systems. Existing context-aware TTS (CTTS) methods typically map dialogue context to speech in an end-to-end manner. Such implicit modeling makes contextual style decisions difficult to supervise, w...

Wen-Jie Tian, Kang-Xiang Xia, Jing-Bin Hu et al. · 0 citations
#natural language process... Preprint Sep 2026

From Script to Drama: An Agentic Framework for Controllable Multi-Speaker Dialogue TTS

A controllable multi-speaker dialogue TTS framework that formulates synthesis as critique-driven iterative refinement, and unifies instruction-following synthesis and natural-language-guided attribute editing, enabling correction of expressive errors without full regeneration.

Kang-Xiang Xia, Xin-Fa Zhu, Hang-Rui Hu et al. · 0 citations
Preprint Aug 2026

OmniJudge or OmniBias? Diagnosing Multimodal Judges through Balanced, Decoupled Lenses

D3-Omni is introduced, a balanced and decoupled benchmark for diagnosing fine-grained multimodal understanding, covering 53 orthogonal binary dimensions and 10,671 samples across the three tasks, suggesting that aggregate accuracy may hide systematic blind spots that a balanced and decoupled lens can help expose and, i...

Guang Hu, Ziyue Jiang, Wei Qiao et al. · 0 citations

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