AMT 1.x: A toolbox for reproducible research in auditory modeling

The Auditory Modeling Toolbox (AMT) is a MATLAB/Octave toolbox for the development and application of computational auditory models with a particular focus on binaural hearing. The AMT aims for a consistent implementation of auditory models, well-structured in-code documentation, and inclusion of auditory data required to run the models. The motivation is to provide a toolbox able to reproduce the model predictions and allowing students and researchers to work with and to advance existing models. In the AMT, model implementations can be evaluated in two stages: by running so-called demonstrations, which are quick presentations of a model, and by starting so-called experiments aimed at reproducing results from the corresponding publications. Here, we describe the tools and mechanisms available within the framework of all AMT 1.x versions. The recently released AMT 1.1 includes over 60 models and is freely available as an open-source package from https: www.amtoolbox.org.

Automated summary

The Auditory Modeling Toolbox (AMT) is a MATLAB/Octave toolbox designed for the development and application of computational auditory models, with a focus on binaural hearing. It provides consistent implementation of auditory models, well-structured code documentation, and necessary auditory data. AMT allows for evaluation of model implementations and reproduction of model predictions.