Neural Network for folk tune generator. #1
Description
Neil: I have a... complex relationship with ML (read: I actively avoid it where possible), but perhaps this is one of the places that a neural net can do better than logic or stats, simply because of the endless self-referential and recursive nature of music. I like the idea of training a network to recognise good patterns of rhythm or harmony and using the deep-dream idea to find what the network believes is the 'best' pattern.
Weiwei: This can a very interesting setup to try out ML, as I likewise have been avoiding it, but since I’m now working in a ML/AI infrastructure company, I probably should get my hands dirty sooner than later. To train a neural network, we’ll need structured training data, probably some web crawling for abc notations + parsing infrastructures need to be in place first to be able to feed data to the model. Let’s see how will ML perform in doing creative things.