ABX discrimination test
ABX discrimination is a term that is used for three stimuli presented on an ABX trial. The third is the focus. The first two stimuli (A and B) are standard, S1 and S2 in a randomly chosen order, and the subjects' task is to choose which of the two is matched by the final stimulus (X). (Glottopedia)
This package contains the operations necessary to initialize, calculate and analyse the results of an ABX discrimination task.
Check out the full documentation at https://docs.syntheticlearner.net/ABXpy.
It is composed of 3 main modules and other submodules.
- task module is used for creating a new task and preprocessing.
- distances package is used for calculating the distances necessary for the score calculation.
- score module is used for computing the score of a task.
- analyze module is used for analysing the results.
See Files Format for a description of the files used as input and output.
According to what you want to study, it is important to characterise the ABX triplets. You can characterise your task along 3 axes: on, across and by a certain label.
An example of ABX triplet:
A and X share the same 'on' attribute; A and B share the same 'across' attribute; A,B and X share the same 'by' attribute.
Example of use
examples/complete_run.sh for a command line run and
examples/complete_run.py for a Python utilisation.
The recommended installation on linux and macos is using conda:
conda install -c coml abx
Alternatively you may want to install it from sources. First clone this repository and go to its root directory. Then
conda env create -n abx -f environment.yml source activate abx make install make test
Build the documentation
To build the documentation in the folder
simply have a:
If you use this software in your research, please cite:
ABX-discriminability measures and applications, Schatz T., Université Paris 6 (UPMC), 2016.