A python library for generating random music to be used as training set for instrument detection and score-generation from recorded audio with machine learning.
Truth is ever to be found in simplicity, and not in the multiplicity and confusion of things.
Isaac Newton
The benefits of using a music generator as training set over recorded music are:
- We can control the complexity of our problem (how many instruments, what type of instruments, type of rhythms, polyphone vs. monophone, etc.).
- We always know the ground truth.
- Since we are generating the data, the data set is basically infinite.
The package offers:
- Basic music theory:
- Notes and their frequencies (tuning of A4 other than 440 Hz is possible, only the scale-invariant, equal temperament is supported for now)
- Scales: major/minor scales, a generic scale is also available
- Chords: major/minor chords, augmented and diminished
- Tempo, time signatures, measures
- Tracks and scores
- Synthesizer module:
- Basic oscillators: square, sine, additive sine (to be added: triangle, wavetable synthesizer)
- ADSR (attack-decay-sustain-release) enveloping for any generator
- Butterworth filters
- Random music generation module:
- Generate random melody using random walk
Create virtual env:
$ python3 -m virtualenv venv
Activate it:
$ source venv/bin/activate
Install packages:
$ pip install -r requirements.txt
Before running anything, append the project root dir to the the PYTHONPATH variable:
$ export PYTHONPATH=</path/to/music-generator>:${PYTHONPATH}Run tests (this will make sound, so you might want to mute your speakers):
$ py.test tests
If you get matplotlib errors google for the solution (should be easy).
For installing simpleaudio you might need to install the python3-dev package.
On ubuntu I also had to install:
sudo apt-get install libasound2-dev
sudo apt-get install python3-tkYou might need to install ffmpeg.
Generate music:
$ python scripts/gen_random.py