THE AUDITORY MODELING TOOLBOX

This documentation page applies to an outdated major AMT version. We show it for archival purposes only.
Click here for the documentation menu and here to download the latest AMT (1.6.0).

View the code

Go to function

baumgartner2014_calibration - - Calibration of the model

Usage

scalib = baumgartner2014_calibration(s)

Input parameter:
s : strucure containing subject's data. It must include the
fields Obj, pe_exp, and qe_exp, representing the listener's HRTF as SOFA object, the baseline local polar RMS error, and the baseline quadrant error rate, respectively. Optionally, the structure can include the field target, a cell array representing the polar target angles for each lateral segment.
Output parameter:
scalib : strucure containing subject's data with calibrated S

baumgartner2014_calibration returns listener data with listener-specific sensitivity thresholds calibrated by joint optimization of PE and QE to minimize mismatch between experimental and predicted results.

baumgartner2014_calibration accepts the following optional parameters:

kv Key-value pairs according to baumgartner2014

TolX Optimization tolerance of listener-specific sensitivity.
Default is 1e-3.