Dr. Tristan Behrens on LinkedIn: #deeplearning #ai #music

For Generative Deep Learning, having a high quality and high quantity is key. On the symbolic music files, this boils down to gathering as many MIDI files as possible. Fortunately, quite a few curated and annotated datasets are already available. Although pale in comparison to any Large Language Model dataset in NLP, there are some datasets that are quite extensive. After implementing my MIDI to dataset preprocessing engine a while ago, I keep myself busy preprocessing different music selections and then training GPT on them.