Project has been discontinued
This project has been discontinued. The work will continue in the AMTOOLBOX project, also available on sourceforge.
The software in this project is completely functional, it is just not being updated. Therefore, it also only contains the old CASP models, and not the current model. To get the newest version, please send an email to Morten Løve Jepsen at the Centre of Applied Hearing Research, Technical University of Denmark.
The Computational auditory signal processing and perception
(CASP) model can account for various aspects of
simultaneous and non-simultaneous masking in human listeners. The
model is based on the modulation filterbank model described by Dau 1997 but includes major changes at peripheral and more central stages of
processing. The model contains outer- and middle-ear transformation, a nonlinear basilar-membrane processing stage, a
hair-cell transduction stage, a squaring expansion, an adaptation
stage, a 150-Hz lowpass modulation filter, a bandpass modulation
filterbank, a constant-variance internal noise and an optimal
detector stage. The model was evaluated in experimental conditions
that reflect, to a different degree, effects of compression and
spectral and temporal resolution in auditory processing. The
experiments include intensity discrimination with pure tones and
broadband noise, tone-in-noise detection, spectral masking with
narrowband signals and maskers, forward masking with tone signals
and tone or noise maskers, and amplitude modulation detection with
narrow and wideband noise carriers.
The CASP model has been developed at CAHR.
The toolbox is Free
software, released under the GNU General Public License (GPLv3).
You can read the documentation included in the M-files online
A Design guideline can be found here.