作者
Taras Kucherenko, Rajmund Nagy, Patrik Jonell, Michael Neff, Hedvig Kjellström, Gustav Eje Henter
发表日期
2021/6/28
研讨会论文
International Conference on Intelligent Virtual Agents
简介
We propose a new framework for gesture generation, aiming to allow data-driven approaches to produce more semantically rich gestures. Our approach first predicts whether to gesture, followed by a prediction of the gesture properties. Those properties are then used as conditioning for a modern probabilistic gesture-generation model capable of high-quality output. This empowers the approach to generate gestures that are both diverse and representational. Follow-ups and more information can be found on the project page: https://svito-zar.github.io/speech2properties2gestures/
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T Kucherenko, R Nagy, P Jonell, M Neff, H Kjellström… - Proceedings of the 21st ACM international conference …, 2021
T Kucherenko, R Nagy, P Jonell, M Neff, H Kjellström… - Proceedings of the 21th ACM International Conference …, 2021