bumblebeat/references.txt at master · thomasgnuttall/bumblebeat · GitHub

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For mapping to less instruments:

Roberts, A., Engel, J., Raffel, C., Hawthorne, C., and Eck, D. A hierarchical latent vector model for learning longterm structure in music. arXiv preprint arXiv:1803.05428, 2018.

Training a Neural Network on MIDI data with Magenta and Python:

https://www.twilio.com/blog/training-a-neural-network-on-midi-music-data-with-magenta-and-python

Relative timing rather than absolute time:

Simon, I. and Oore, S. Performance rnn: Generating music
with expressive timing and dynamics, 2017.

# Data representation reference
#Ian Simon and Sageev Oore. Performance RNN:
#Generating music with expressive timing and dynamics. https://magenta.tensorflow.org/
#performance-rnn, 2017.

Training Tips for the Transformer Model