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arXiv · 2606.20650

EmoInstruct-TTS: Dual-Path Instruction-Guided Emotional Speech Synthesis

Minghui Wu·Ganjun Liu·Zikun Fang·Ting Meng·Hongchuan Wu·Bingao Xu·Yonglong Cai·Jiasheng Chen·Jun Du
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Abstract

Instruction-based controllable speech synthesis enables users to specify emotions through natural language. However, existing approaches often rely on coarse emotion labels and lack explicit modeling of fine-grained intensity. We propose EmoInstruct-TTS, a dual-path instruction-guided framework for emotional speech synthesis. We introduce Emotion2embed, a supervised semantic-acoustic emotion embedding covering 48 emotional states, including fine-grained categories and intensity levels. To infer embeddings from free-form instructions, we design an Instruction-Conditioned Emotion Flow Model (ICE-Flow) that generates acoustically grounded emotion representations. The inferred embeddings are integrated into an LLM-based synthesis pipeline to provide explicit emotional control while preserving semantic planning. Experiments show improved emotional controllability and speech naturalness over strong baselines.

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Minghui Wu, Ganjun Liu, Zikun Fang, Ting Meng, Hongchuan Wu, Bingao Xu, Yonglong Cai, Jiasheng Chen, Jun Du. 2026-06-08. EmoInstruct-TTS: Dual-Path Instruction-Guided Emotional Speech Synthesis. https://arxiv.org/abs/2606.20650

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