About Auditory Modeling Toolbox
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...
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.
Features
- 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
Previous Versions
Here you can find the changelog of Auditory Modeling Toolbox since it was posted on our website on 2015-04-24 03:00:00.
The latest version is 1 and it was updated on 2024-04-22 10:06:26. See below the changes in each version.
Auditory Modeling Toolbox version 1
Updated At: 2022-05-28
Auditory Modeling Toolbox version AMT%200.0.3
Updated At: 2011-02-25
Changes: Several fixes and updates
Disclaimer
External Download
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