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eess.AS2026
InstCharVoice: Grounding Natural-Language Instructions for Character-Level Control in Text-to-Speech
Sihang Nie, Xueru Li, Xiaofen Xing +4
Instruction-based text-to-speech (ITTS) systems enable natural-language control of expressive speech generation, but often offer limited transparency and fine-grained control over…
eess.AS2026
WordVoice: Explicit and Decoupled Multi-Dimensional Word-Level Control for LLM-Based TTS
Sihang Nie, Jinxin Ji, Xiaofen Xing +4
While recent Large Language Model (LLM)-based Text-to-Speech (TTS) systems have achieved remarkable naturalness, they predominantly rely on implicit end-to-end generation paradigms…
eess.AS2026
HPRO: Hierarchical Progressive Reward Optimization via Preference Extraction for Emotional Text-to-Speech
Sihang Nie, Xiaofen Xing, Rui Xing +5
Recently, Large Language Model (LLM)-based Text-to-Speech (TTS) models have achieved remarkable naturalness. However, the standard Supervised Fine-Tuning paradigm often converges t…