THE AUDITORY MODELING TOOLBOX
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BAUMGARTNER2016_CALIBRATION - Calibration of listener-specific sensitivity thresholds to experimental performance
Usage:
scalib = baumgartner2016_calibration(s)
Input parameters:
| s | strucure containing subject's data. It must include the fields Obj, baseline.pe_exp, and baseline.qe_exp, representing the listener's HRTF as SOFA object, the baseline local polar RMS error, and the baseline quadrant error rate, respectively. |
Output parameters:
| scalib | strucure containing subject's data with calibrated u |
Description:
baumgartner2016_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.
baumgartner2016_calibration accepts the following optional parameters:
| 'Srange',Sr | Define the sensitivity range. Default is [eps,10]. |
| 'prange',pr | Define the prior range. Default is [0,1]. |
| 'latseg',ls | Define lateral segment(s) of data used for calibration. Default value is 0 deg. |
| 'c',c | Structure for optional definition of listener-specific settings like playback level or stimulus. |
| 'TolX',tx | Minimum tolerance of optimization argument (see help optimset for details). |
| 'MaxIter',mi | Maximum number of optimization iterations (see help optimset for details). |
baumgartner2016_calibration accepts the following flags:
| 'calibprior' | Calibrate also expectation prior. |
| 'fminbnd' | Use fminbnd routine for calibration. This is the default. |
| 'fminsearch' | Use fminsearch routine for calibration. |
| 'search' | Try all possibilities. |
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