THE AUDITORY MODELING TOOLBOX
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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:
- SOFA API from http://sourceforge.net/projects/sofacoustics for Matlab (in e.g. thirdparty/SOFA)
- 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');
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