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New CHAT framework generates conversational audio-visual dialogue from text

Researchers have developed CHAT, a novel framework for generating conversational audio-visual dialogue. This system uses large language models and talking face models, enhanced with interactive audio and facial behavior refinement, to create diverse, paired speech-face dialogue clips from text prompts. CHAT offers a scalable and ethically sound alternative to collecting real-world interaction data, and its generated dataset, CHAT-AVD-50k, has shown to improve downstream tasks like facial reaction generation. AI

IMPACT This framework could accelerate the development of more realistic and interactive digital humans and virtual agents.

RANK_REASON The item describes a new research paper detailing a novel framework for dialogue generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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New CHAT framework generates conversational audio-visual dialogue from text

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Junhao Song, Lluis Guasch, Xilin He, Zhongyu Yang, Yingfang Yuan, Weicheng Xie, Linlin Shen, Haijun Lin, Shizhe Liu, Wei Pang, Siyang Song ·

    Conversational Human Audio-visual Talking Dialogue Generation

    arXiv:2607.02799v1 Announce Type: new Abstract: Large-scale dyadic interactive audio-visual dialogue (DIAD) datasets provide fundamental data resources for developing humanoid interactive virtual agents and digital humans. However, collecting such data is time-consuming, expensiv…