论文标题
具有音频功能的运动生成
Towards Movement Generation with Audio Features
论文作者
论文摘要
声音和动作紧密结合，尤其是在舞蹈中。已经发现某些音频功能会影响我们转向音乐的方式。声音与运动之间的这种关系是否可以使用机器学习建模？这项工作提出了初始实验，其中包括一组音乐作品计算出的高级音频功能包含在运动型捕获即兴舞蹈录音的运动生成模型中。我们的结果表明，该模型学会生成逼真的舞蹈运动，这些舞蹈运动取决于音频功能。
Sound and movement are closely coupled, particularly in dance. Certain audio features have been found to affect the way we move to music. Is this relationship between sound and movement something which can be modelled using machine learning? This work presents initial experiments wherein high-level audio features calculated from a set of music pieces are included in a movement generation model trained on motion capture recordings of improvised dance. Our results indicate that the model learns to generate realistic dance movements which vary depending on the audio features.
