SaGA++ Speech-Gesture Dataset Extension

This is the dataset extension release for the SaGA dataset.

We have extracted anonymous features from all the 25 recordings and release them all now instead of only 6 recordings that were previously released. The modalities included are text annotations, gesture annotations, prosodic audio features, and movement trajectories. More details are provided in the README document included in the dataset.

Please reference the following papers in any publication making use of the Dataset:

Kucherenko, T., Nagy, R., Neff, M., Kjellström, H., & Henter, G. E. (2022). Multimodal analysis of the predictability of hand-gesture properties. 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS). 

Lücking, A., Bergman, K., Hahn, F., Kopp, S., & Rieser, H. (2013). Data-based analysis of speech and gesture: The Bielefeld Speech and Gesture Alignment Corpus (SaGA) and its applications. Journal on Multimodal User Interfaces, 7(1), 5-18.