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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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 10 vom: 24. Okt., Seite 6984-6996
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| Auteur principal: |
Zhang, Fan
(Auteur) |
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| Autres auteurs: |
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: | Article en ligne
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| Langue: | English |
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| Publié: |
2024
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't |
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