Applies to version: 0.9.8

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baumgartner2014_calibration - - Calibration of the model


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.