Coconet is an instance of an orderlessNADE, that uses deep convolutional
neural networks to perform music inpaintings through Gibbs sampling.
In the demo below, we call infill() to create Bach-style
4-part harmonies with the provided input, and display the result.
The default behaviour of the model is to infill all of the "silence" in a NoteSequence. In this example, only the first voice (Soprano) is present for all the time steps, so Coconet will infill the other 3 voices (Alto, Tenor and Bass)
Input:
Result: Loading...
It took:
temperature and numIterations parameters to the
infill() method.
Input:
Result: Loading...
It took:
As mentioned before, the default behaviour of the model is to infill all
of the "silent" measures. In order to distinguish between intended rests and
infill sections, you can use the infillMask parameter to
specify exactly which section to be infilled.
Input:
Result: Loading...
It took:
Total Leaked Memory: