DATA_BAUMGARTNER2016 - Data from Baumgartner et al. (2016)

Usage

data = data_baumgartner2016(flag)

Input parameters

Output parameters

data

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. Columns denote:

1:4 ... azi_target,ele_target,azi_response,ele_response 5:8 ... lat_target,pol_target,lat_response,pol_response 9 ... F/B-Confusion resolved pol_response

If the 'model'-falg 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:

SOFA API from http://sourceforge.net/projects/sofacoustics for Matlab (in e.g. thirdparty/SOFA)
Data in hrtf/baumgartner2014 and hrtf/baumgartner2016
Data in auxdata/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: