ok toto je far out.. ale zaujimave
Visually Indicated Sounds

Materials make distinctive sounds when they are hit or
scratched – dirt makes a thud; ceramic makes a clink. These
sounds reveal aspects of an object’s material properties, as
well as the force and motion of the physical interaction. In
this paper, we introduce an algorithm that learns to synthesize
sound from videos of people hitting objects with a
drumstick. The algorithm uses a recurrent neural network
to predict sound features from videos and then produces a
waveform from these features with an example-based synthesis
procedure. We demonstrate that the sounds generated
by our model are realistic enough to fool participants
in a “real or fake” psychophysical experiment, and that they
convey significant information about the material properties
in a scene.
http://arxiv.org/pdf/1512.08512v1.pdf