Auditory Modeling Toolbox1

The auditory modeling toolbox (AMT) is a Matlab/Octave toolbox for the development and application of auditory computational models. Over 50 auditory models implemented in Matlab, Octave, C, C++, and Python can be run from Matlab and Octave, on Windows and Linux. The AMT provides a well-structured in-code documentation, includes auditory data required to run the models. It integrates functionality to reproduce the model predictions. 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. Easy installation and user-friendly access help students and researchers to work with and to advance existing models.

• ERB / Mel / bark conversion
• Several types of gammatone IIR filters (pole-zero and all-pole)
• RMS, dB calculations etc.
• Inner hair cell envelope extraction models
• Adaptation loops
• Modulation filterbanks
• Non-linear auditory filterbanks
• Models of the auditory nerve
• Binaural and monaural masking models
• Sound localization models
• Experiments to accomplish reproducible research
• Binaural and monaural speech intelligibility models
• Human data from selected papers
• Experiments from selected papers