An algorithmic jazz improviser written in Python.

Most dependencies will install from PyPI no problem. (NumPy and SciPy installation depends on your platform.) You'll have to install one package from GitHub, because the MIDI package published on PyPI is Python 2 only.

pip install https://github.com/marczellm/python-midi/archive/feature/python3.zip

The GUI also requires my own tkpf package:

pip install https://github.com/marczellm/tkpf/archive/master.zip

Lasagne and Theano are optional, because Theano is discontinued. Code using these libraries is retained only for educational purposes.

python main.py <task> <task parameters>

Available tasks:

single <model> <song> <choruses>

Train a model on a single input file containing a solo on a given chord progression, and generate another solo for the same changes.

• model can be markov, neural, lstm or lstm_stateless.
• For the given song, there has to be a MIDI file in the input folder and a chord progression file in the changes folder, both with the same name as song
• choruses is the number of choruses to generate

weimar <model> <song> <choruses>

Train a model on the Weimar database of jazz solo transcriptions, and generate a solo for another song. Both the MIDI and the changes file still has to exist, the former to seed the generator. Models are neural and lstm.

turing

Generate a Turing test: 5 choruses of machine improvisation and 5 choruses of human improvisation in separate MIDI files.

On Windows I've successfully ran this code on CPU with GCC 6.2 (installed through MSYS2) and either Tensorflow or Theano with the following .theanorc:

[global]
base_compiledir = D:\ProgramFiles\theano\
# device=opencl1:0  # Enable these two when proper OpenCL support comes to Theano
# floatX=float32

[gcc]
cxxflags = -D_hypot=hypot -Wno-narrowing
# Add these flags when using gpuarray for GPU support
# -ID:\ProgramFiles\theano\libgpuarray\include\ -LD:\ProgramFiles\theano\libgpuarray\lib\Release\

I've ran this on CUDA 7.5 and GCC 4.9 with the following .theanorc, after installing libgpuarray:

[global]
device = cuda
floatX = float32
cxx = /usr/bin/g++-4.9

[gcc]
cxxflags=-w

[cuda]
root = /usr/local/cuda

[nvcc]
flags=-ccbin=/usr/bin/g++-4.9 -D_FORCE_INLINES -w

The contents of the weimardb directory are a direct copy and various converted forms of the Weimar Jazz Database of the Jazzomat Research Project. This is made available under the Open Database License v1.0.

The code contained in weimar\_ly2midi.py is copyright 2012-2017 Andreas Jansson.

The rest of the repository is copyright 2017 Márton Marczell.