Here is an outline of just one of several approaches one could (in principle) use to produce a custom style in BiaB. The psuedo code is written in a non-AI or traditional form that would guide how I would tackle this problem. FWIW, for me, it's irrelevant whether AI or traditional means are used to deliver this functionality because it's all under the hood. My original thought would be to use AI simply because in my mind this appears to be a technically challenging computer code to write and an AI approach may be simpler to implement when all is said and done.

The main technical challenge I see in using a traditional computing approach would be in computing the Error (Line 30). This would seem to require a very deep understanding of music theory and perhaps music psychology at a fundamental level.

Does anyone know how the mathematical code could be written to determine the musical distance there is between the guitar styles of Stevie Ray Vaughn and David Gilmore, for example? Clearly there are differences we all can hear between these two artists. But how would one code in FORTRAN, C++, Java, or Phython to accomplish this?

I'd be interested to hear the opinion of any expert in this field as to whether the math and theory exists to do this traditionally.

Whether AI or traditional, in engineering we would call this a juicy problem dripping with opportunity.

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For me there’s no better place in the band than to have one leg in the harmony world and the other in the percussive. Thank you Paul Tutmarc and Leo Fender.