Usage

data = data_baumgartner2016(flag)

Output parameters

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:

'1:4 azi_target,ele_target,azi_response,ele_response'

'5:8 lat_target,pol_target,lat_response,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:

Requirements:

1. SOFA API from http://sourceforge.net/projects/sofacoustics for Matlab (in e.g. thirdparty/SOFA)
2. Data in hrtf/baumgartner2014 and hrtf/baumgartner2016
3. 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:

data_baumgartner2016('Long');