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arXiv AI By Yunji Chu

Listen Before You Speak: Response Planning from Listener Facial Reactions for Conversational Speech Generation

Read the original on arXiv AI →

The paper introduces ReACT‑TTS, a two‑stage framework that uses a one‑second sequence of listener facial reactions to plan the emotion and prosody of a conversational utterance before speech synthesis. Experiments on the MELD dataset show that temporally conditioned models outperform text‑only baselines in macro‑F1 and VAD concordance, while accuracy remains unchanged. A contextual‑appropriateness study with speech researchers indicates a strong preference for temporally conditioned responses, and the approach is integrated with a Grad‑TTS backbone for end‑to‑end speech generation.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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