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New Mandarin Emotional Dialogue Dataset Released

Researchers have introduced EmotionDialogCN, a large-scale audiovisual dataset designed to capture spontaneous emotional dialogue in Mandarin. The dataset features over 400 hours of recordings from 119 actors across 20 scenarios, covering 18 emotion categories. This dataset aims to address limitations in existing multimodal dialogue datasets by offering greater emotional diversity and scale, with a focus on naturalistic expressions and stable performance across various modalities. AI

IMPACT This dataset could advance research in multimodal AI for understanding and generating emotional dialogue.

RANK_REASON The cluster describes the release of a new academic dataset for research purposes. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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New Mandarin Emotional Dialogue Dataset Released

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yi Zheng, Yifan Xu, Yan Zhou, Hejia Chen, Chunyu Qiang, Xiaoqiang Liu, Xiaohan Li, Shenze Huang, Yue Zhang, Guoying Zhao, Pengfei Wan ·

    EmotionDialogCN: A Spontaneous Multimodal Dataset for Mandarin Emotional Dialogue

    arXiv:2608.20905v1 Announce Type: new Abstract: Face-to-face audiovisual interaction is central to human communication, conveying rich emotional and social cues. However, existing multimodal dialogue datasets remain limited by inadequate emotion annotations, poor emotional divers…