THE AUDITORY MODELING TOOLBOX

Applies to version: 1.4.0

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DATA_BAUMGARTNER2016 - Data from Baumgartner et al. (2016)

Usage:

data = data_baumgartner2016(flag)

Output parameters:

data data structure

Description:

The data structure contains the following fields:

'id' listener ID
'S' listener-specific sensitivity parameter
'mrs' listener-specific task-induced response scatter (derived from central lateral response precision in baseline condition)
'Obj' DTF data in SOFA Format
'pe_exp' experimental local polar RMS error
'qe_exp' experimental quadrant error rate
'target' experimental target angles
'response' experimental response angles
'itemlist' experimental item list.

The Columns of .itemlist denote: [azi_target, ele_target, azi_response, ele_response, lat_target, pol_target, lat_response, pol_response, F/B-Confusion resolved pol_response]

If the 'model'-flag is set the output contains also the following fields

'S' listener-specific sensitivity parameter.
'Obj' DTF data in SOFA Format.
'pe_exp' experimental local polar RMS error in baseline condition.
'qe_exp' experimental quadrant error rate in baseline condition.
'target' experimental target angles.
'response' experimental response angles.
'stim' target stimulus.
'fsstim' sampling rate of target stimulus.

data_baumgartner2016(flag) returns data from Baumgartner et al. (2016) describing a model for sound localization in sagittal planes (SPs) on the basis of listener-specific directional transfer functions (DTFs).

data_baumgartner2016 accepts the following flags:

'baumgartner2014' data of the pool from Baumgartner et al. (2014). This is the default.
'Long' 300ms at 50+-5dB SL.
'10dB' 3ms at 10+-5dB SL.
'20dB' 3ms at 20+-5dB SL.
'30dB' 3ms at 30+-5dB SL.
'40dB' 3ms at 40+-5dB SL.
'50dB' 3ms at 50+-5dB SL.
'60dB' 3ms at 60+-5dB SL.
'70dB' 3ms at 70+-5dB SL.
'all' All conditions stated above. Itemlists in cell array.
'ConditionNames' To receive cell array with all condition names.
'model' DTFs, sensitivities and test stimuli necessary for model predictions. Sensitivity paramters will be calibrated if calibration data does not exist or does not match the current setting of baumgartner2016.

Requirements:

  1. SOFA API from http://sourceforge.net/projects/sofacoustics for Matlab (in e.g. thirdparty/SOFA)
  2. Auxdata in baumgartner2014 and baumgartner2016

Examples:

To get all listener-specific data of the pool from Baumgartner et al. (2014), use:

data_baumgartner2016;

To get all listener-specific data of the LocaLevel study, use:

data_baumgartner2016('Long');