https://github.com/calclavia/DeepJ

A deep learning model for style-specific music generation.
https://github.com/calclavia/DeepJ

composition deep generation keras learning machine music tensorflow

Last synced: about 2 months ago
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A deep learning model for style-specific music generation.

• Host: GitHub
• URL: https://github.com/calclavia/DeepJ
• Owner: calclavia
• License: mit
• Created: 2017-01-15T06:43:17.000Z (over 7 years ago)
• Default Branch: icsc
• Last Pushed: 2018-09-30T18:28:01.000Z (almost 6 years ago)
• Last Synced: 2024-07-02T23:06:18.745Z (3 months ago)
• Topics: composition, deep, generation, keras, learning, machine, music, tensorflow
• Language: Python
• Homepage: https://arxiv.org/abs/1801.00887
• Size: 630 MB
• Stars: 719
• Watchers: 36
• Forks: 110
• Open Issues: 16
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-ai-music-generation - **DeepJ** - specific music generation. 🎵🔥 (717 stars) (GitHub projects)

README

        
# DeepJ: A model for style-specific music generation

https://arxiv.org/abs/1801.00887

## Abstract

Recent advances in deep neural networks have enabled algorithms to compose music that is comparable to music composed by humans. However, few algorithms allow the user to generate music with tunable parameters. The ability to tune properties of generated music will yield more practical benefits for aiding artists, filmmakers, and composers in their creative tasks. In this paper, we introduce DeepJ - an end-to-end generative model that is capable of composing music conditioned on a specific mixture of composer styles. Our innovations include methods to learn musical style and music dynamics. We use our model to demonstrate a simple technique for controlling the style of generated music as a proof of concept. Evaluation of our model using human raters shows that we have improved over the Biaxial LSTM approach.

## Requirements

- Python 3.5

Clone Python MIDI (https://github.com/vishnubob/python-midi)

`cd python-midi`

then install using

`python3 setup.py install`.

Then, install other dependencies of this project.

```

pip install -r requirements.txt

```

The dataset is not provided in this repository. To train a custom model, you will need to include a MIDI dataset in the `data/` folder.

## Usage

To train a new model, run the following command:

```

python train.py

```

To generate music, run the following command:

```

python generate.py

```

Use the help command to see CLI arguments:

```

python generate.py --help

```