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[D] Best way to train an RNN to play an instrument in a specific performer’s style

I think building a model to learn a specific musician’s style could be a fun side project and was hoping to get some thoughts. I have complete multi-track MIDI discographies for a few bands, but I’m struggling to figure out the best way to structure the input/output of the model.

The general idea is to feed in some set of instrument/vocal tracks (this selection will basically be a hyperparameter) and generate the target track as an output. An RNN seems like the obvious approach and I was planning to start with a BLSTM using Keras and music21 in Python. To generate the training data, I’ll use a training set of the songs to randomly sample 10 second (another hyperparameter) clips. The same track will always be the target, and I am planning to use a consistent subset of the other tracks as the input. However, it would be nice to eventually use a varied set of input tracks to generate the output.

Does anyone have experience doing something similar to this, or have any relevant papers/libraries to recommend?

submitted by /u/jmineroff
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.