A DQN-style planner initialized from a pretrained LLM selects the system's emotion before response generation, using a hybrid reward of dataset imitation and GPT-4o-scored Plutchik theory, enabling streaming emotional TTS.
Yunhe Xie, Yifan Liu, Chengjie Sun, and Shaobo Li
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Self-EmoQ: Plutchik-Guided Value-based Planning to Drive Streaming Emotional TTS
A DQN-style planner initialized from a pretrained LLM selects the system's emotion before response generation, using a hybrid reward of dataset imitation and GPT-4o-scored Plutchik theory, enabling streaming emotional TTS.