AuEmoChat: Authentic Emotion Understanding and Rendering for Conversational Speech Synthesis

Conversational Speech Synthesis (CSS) aims to synthesize speech with human-like emotional expression and contextual consistency in user-agent interactions. Existing CSS methods struggle to render authentic human emotions due to limited predefined emotion label spaces (e.g., seven emotion categories), while redundant multimodal tokens in multi-turn dialogue history interfere with context understanding. To address these issues, we propose AuEmoChat, a CSS framework for authentic emotion understand

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ethics.ai (17 July 2026), “AuEmoChat: Authentic Emotion Understanding and Rendering for Conversational Speech Synthesis,” evidence record 11861, https://ethics.ai/record/11861 (originally published by arXiv cs.AI).

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