Auditory Modeling Toolbox download

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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License

GNU General Public License version 3.0 (GPLv3)

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Auditory Modeling Toolbox Web Site

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User Reviews

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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.

Additional Project Details

Intended Audience

Education, Developers, Engineering

Programming Language

MATLAB, Python, C

Related Categories

MATLAB Scientific Engineering, Python Scientific Engineering, C Scientific Engineering

Registered

2009-11-25

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