Music is a python package to generate and manipulate music and sounds. It's written using the MASS (Music and Audio in Sample Sequences) framework, a collection of psychophysical descriptions of musical elements in LPCM audio through equations and corresponding Python routines.
To have a further understanding of the routines you can read the article Musical elements in the discrete-time representation of sound.
If you use this package, please cite the forementioned article.
The precision of Music makes it the perfect choice for many scientific uses. At its core there are a few important features:
Music can be used alone or with other packages, and it's ideal for audiovisualization of data. For example, it can be used with Percolation and Participation for harnessing open linked social data, or with audiovisual analytics vocabulary and ontology (AAVO).
To install music you can either install it directly with pip
:
pip3 install music
or you can clone this repository and install it from there:
git clone https://github.com/ttm/music.git
pip3 install -e <path_to_repo>
This install method is especially useful when reloading the modified module in subsequent runs of music, and for greater control of customization, hacking and debugging.
Every dependency is installed by default by pip
, but you can take a look at requirements.txt.
Inside the examples folder you can find some scripts that use the main features of Music.
Being
).Being
as their synth, but this time with permutations.IteratorSynth
, that iterates through arbitrary lists of variables.The modules are:
Music is stable but still very young. We didn't have the opportunity yet to make Music all we want it to be.
Here is one example of what we're aiming at:
import music
music.render_demos() # render some wav files in ./
music.legacy.experiments.cristal2(.2, 300) # wav of sonic structure in ./
sound_waves = music.legacy.songs.madame_z(render=False) # return numpy array
sound_waves2 = music.core.io.open("demosong2.wav") # numpy array
music = music.remix(sound_waves, soundwaves2)
music_ = music.horizontal_stack(sound_waves[:44100*2], music[len(music)/2::2])
music.core.io.write_wav_mono(music_)
The code follows PEP 8 conventions.
For a better understanding of each function, the math behind it and see examples of their use, you can read their docstring.
Music is primarily intended for artistic use, but was also designed to run psychophysics experiments and data sonification.
You can find an example in Versinus, an animated visualization method for evolving networks that uses Music to render the musical track that represents networks structures.
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