ftis
is a framework for data manipulation, management, creation and munging in Python 3.8+. It is designed for creative use, mainly for my own preoccupations with segmenting, analysing, organising, discovering structure within, and composing with audio corpora.
The overall architecture can be conceived in two parts; 'analysers' and 'worlds'. A ftis
'world' can house any number of 'analysers' that can be chained and connected in different ways. A python script can house any number of worlds and therefore you can compose multiple processes. Inside of a world, ftis
makes connections between a source, the analysers and an output (known as the sink).
You can install ftis
using pip install ftis
. This will pull down the necessary dependencies so that all of the analysers that ship with ftis
work straight away.
You can also fork this repository and clone
it to your machine.
The simplest setup is to have a virtual environment setup with ftis installed as a module. cd
to the clone of your fork of ftis
and enter the module (the directory containing setup.py
). Once there run pip install -e .
to install ftis
to your activated virtual environment. Once you've designed your script you can easily run it with python mycoolscript.py
. Of course if you have used pip
to install ftis
then none of the previous advice applies.
There are some good examples of scripts in the examples directory of this repository. Otherwise the basic structure looks like this:
# import ftis modules that we need
from ftis.analyser.slicing import FluidNoveltyslice # novelty slicing
from ftis.world import World # a ftis 'world'
from ftis.corpus import Corpus # a corpus object
src = Corpus("~/corpus-folder/corpus1") # corpus object collects audio files at this directory
out = "~/corpus-folder/slicing" # set an output folder
# instantiate an instance of the process
world = World(sink=out)
# Connect together processes using >>
src >> FluidNoveltySlice(threshold=0.35, feature=1) >> ExplodeAudio()
# now add a Corpus node to our world
world.build(src)
if __name__ == "__main__":
world.run() # finally run the chain of connected analysers
and thats it! For more information read the full documentation.
If you feel up to contributing plumbing code or your own analysers please feel free to do via github.
- Fork this repository
- Checkout a branch with your new feature
- Implement feature
- Make a pull request!