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. <strong>Please reference the following papers in any publication making use of the Dataset:</strong> Kucherenko, T., Nagy, R., Neff, M., Kjellström, H., &amp; 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., &amp; Rieser, H. (2013). Data-based analysis of speech and gesture: The Bielefeld Speech and Gesture Alignment Corpus (SaGA) and its applications. <em>Journal on Multimodal User Interfaces</em>, <em>7</em>(1), 5-18.本数据集为SaGA数据集的扩展发布版本。我们已从全部25条录制样本中提取匿名特征，并于本次发布全部特征，而非仅公开此前发布的6条样本的特征。本次发布包含的模态包括文本标注、手势标注、韵律音频特征以及运动轨迹数据。数据集附带的README文档中提供了更多详细信息。若使用本数据集进行任何学术发表，请引用以下文献：Kucherenko, T., Nagy, R., Neff, M., Kjellström, H. 与 Henter, G. E. (2022). 手部手势属性可预测性的多模态分析. 第21届国际自主代理与多代理系统大会（AAMAS）。Lücking, A., Bergman, K., Hahn, F., Kopp, S. 与 Rieser, H. (2013). 语音与手势的数据分析：比勒费尔德语音与手势对齐语料库（SaGA）及其应用. 《多模态用户界面期刊》, 7(1), 5-18.