Speech-Driven Personalized Gesture Synthetics : Harnessing Automatic Fuzzy Feature Inference
Speech-driven gesture generation is an emerging field within virtual human creation. However, a significant challenge lies in accurately determining and processing the multitude of input features (such as acoustic, semantic, emotional, personality, and even subtle unknown features). Traditional appr...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 10 vom: 28. Sept., Seite 6984-6996
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| 1. Verfasser: |
Zhang, Fan
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Zhaohan,
Lyu, Xin,
Zhao, Siyuan,
Li, Mengjian,
Geng, Weidong,
Ji, Naye,
Du, Hui,
Gao, Fuxing,
Wu, Hao,
Li, Shunman |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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