Skip to content

Implementation of the MiniBach model described in Deep Learning Techniques for Music Generation

License

Notifications You must be signed in to change notification settings

napulen/MiniBach

Repository files navigation

MiniBach

Implementation of the MiniBach model described in the book Deep Learning Techniques for Music Generation.


About

The MiniBach model is very simple (a feedforward network with only one hidden layer) so it can be considered a kind of Hello World for symbolic music generation. It is perfect for people just starting with deep learning. For the not so beginners on deep learning, maybe the encoding of the music score provides some insight. In any case, I couldn't find an implementation of the model when I saw it on the book, and decided that it would be a nice contribution to the community.

Code

The implementation is written in a tutorial-like fashion spread out in four notebooks:

  • Part 1: Taking a collection of Humdrum **kern symbolic music files (Bach chorales) and process them into 4-measure chunks of training data
  • Part 2: Encoding the 4-measure chunks of training data into one-hot-encoded vectors for the neural network, separating the soprano (input) from the three lower voices (output)
  • Part 3: Training the neural network and predicting the accompaniment for one of the melodies in the training examples
  • Part 4: Generating the accompaniment for an arbitrary melody

If cloning the repository, clone recursively to get the submodule with the Bach chorales, which are provided by Craig Sapp:

git clone https://github.com/napulen/MiniBach.git --recursive

Requirements

The music processing is done using music21. The network is implemented with tensorflow, and pandas dataframes are used a few times.

Source

More details about this and other (more advanced) models can be found in the book:

Briot, Jean-Pierre, Gaëtan Hadjeres, and François Pachet. 2017. “Deep Learning Techniques for Music Generation - A Survey.” CoRR abs/1709.01620. http://arxiv.org/abs/1709.01620.


Enjoy!

About

Implementation of the MiniBach model described in Deep Learning Techniques for Music Generation

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published