Title: Audio to Body Dynamics,
Abstract: We present a method that gets as input an audio of violin or piano playing,
and outputs a video of skeleton predictions which are further used to animate
an avatar. The key idea is to create an animation of an avatar that moves their
hands similarly to how a pianist or violinist would do, just from audio. Aiming
for a fully detailed correct arms and fingers motion is a goal, however, it's
not clear if body movement can be predicted from music at all. In this paper,
we present the first result that shows that natural body dynamics can be
predicted at all. We built an LSTM network that is trained on violin and piano
recital videos uploaded to the Internet. The predicted points are applied onto
a rigged avatar to create the animation.