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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

Project Samples

exp_gammatone reproducing Fig. 5 from Patterson and Nimmo-Smith (1987) exp_verhulst2012 reproducing Fig. 2c from Verhulst et al., (2012) exp_bruce2018 reproducing Fig. 10a from Bruce et al., (2018) exp_ziegelwanger2014 reproducing Fig. 9 from Ziegelwanger and Majdak (2014). exp_jelfs2011 reproducing Fig. 4 from Jelfs et al., (2014) exp_reijniers2014 reproducing Fig. 2a from Reijniers et al., (2014)

Project Activity

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Categories

Scientific/Engineering

License

GNU General Public License version 3.0 (GPLv3)

Follow Auditory Modeling Toolbox

Auditory Modeling Toolbox Web Site

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  • glenmclachlan Posted 2023-04-25
    Great way to reproduce results
  • mariaess617 Posted 2022-08-26
    Excellent
  • tfileme Posted 2013-05-24
    Thanks for good program!
    1 user found this review helpful.
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Additional Project Details

Intended Audience

Developers, Education, Engineering

Programming Language

C, MATLAB, Python

Related Categories

MATLAB Scientific Engineering, Python Scientific Engineering, C Scientific Engineering

Registered

2009-11-25
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