SOURCE-LINKED INTELLIGENCE
Listen Before You Speak: Response Planning from Listener Facial Reactions for Conversational Speech Generation
Conversational speech depends on dialogue context and the listener's immediately preceding behavior. We propose ReACT-TTS, a two-stage framework that uses a one-second pre-response listener facial sequence to plan the next utterance's emotion and prosody before speech realization. On a strict dyadic MELD protocol, Temporal conditioning yields higher mean macro-F1 and VAD concordance than Text-only across ten seeds, while accuracy remains essentially unchanged. Ablations show that temporal modeling performs best among the visual variants and that an explicit early-to-late difference is unnecess
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-18T12:18:16.000Z
First collected: 2026-09-23T13:51:27.104Z. This is not the publication date.