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Zero-shot style transfer for gesture animation driven by text and speech using adversarial disentanglement of multimodal style encoding
Modeling virtual agents with behavior style is one factor for personalizing human-agent interaction. We propose an efficient yet effective machine learning approach to synthesize gestures driven by prosodic features and text in the style of different speakers including those unseen during training....
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291316/ https://www.ncbi.nlm.nih.gov/pubmed/37377638 http://dx.doi.org/10.3389/frai.2023.1142997 |