LSTM to generate drum tracks based on Metallica's midi drum tracks
Python
Latest commit 4e65597 Jan 24, 2017 @keunwoochoi committed on GitHub Update readme.md

readme.md

LSTMetallica

A LSTM network that learns from the drum tracks of Metallica and generates new tracks.

Prequisite

  • keras, a deeplearning framework
  • python-midi, to get midi file
  • numpy, probably you already have it.

Usage

  • Clone the repo
  • $ python main_lstM_etallica.py to get generated drum track in text file
  • text->midi: $ python main_post_process.py - this is when you need python-midi
  • Use this text file, an aggregated-and-encoded text file for Metallica's drum tracks, to do something more
  • This folder contains the original drum midi tracks.

External links

Citation

Text-based LSTM networks for Automatic Music Composition, Keunwoo Choi, George Fazekas, Mark Sandler, 1st Conference on Computer Simulation of Musical Creativity, Huddersfield, UK, 2016, arXiv, pdf, bib