Our paper has been accepted to HUCAPP 2023. This work is collaborative research with Prof. Hasegawa at Hokkai Gakuen University and Prof. Kaneko at Aoyama Gakuin University. This paper proposes a method for applying a text-to-gesture generation model trained using an English dataset to Japanese speakers’ data.
- Genki Sakata, Naoshi Kaneko, Dai Hasegawa, and Shinichi Shirakawa: Language Agnostic Gesture Generation Model: A Case Study of Japanese Speakers’ Gesture Generation Using English Text-to-Gesture Model, 7th International Conference on Human Computer Interaction Theory and Applications (HUCAPP 2023), Lisbon, Portugal, February 19-21, 2023.