THE AUDITORY MODELING TOOLBOX
Go to function
EXP_BAUMGARTNER2017 - - Experiments of Baumgartner et al. (2017)
Usage
data = exp_baumgartner2017(flag)
Description
exp_baumgartner2017(flag) reproduces figures of the study from Baumgartner et al. (2017).
The following flags can be specified
- boyd2012 models experiments from Boyd et al. (2012; Fig.1, top).
- Average externalization ratings of 1 talker for NH participants against mix point as a function of microphone position (ITE/BTE) and frequency response (BB/LP). The reference condition (ref) is the same as ITE/BB. Error bars show SEM.
- hartmann1996 models experiments from Hartmann & Wittenberg (1996; Fig.7-8)
- 1st panel: Synthesis of zero-ILD signals. Only the harmonics from 1 to nprime had zero interaural level difference; harmonics above nprime retained the amplitudes of the baseline synthesis. Externalization scores as a function of the boundary harmonic number nprime. Fundamental frequency of 125 Hz. 2nd panel: Synthesis of signals to test the ISLD hypothesis. Harmonics at and below the boundary retained only the interaural spectral level differences of the baseline synthesis. Higher harmonics retained left and right baseline harmonic levels. Externalization scores as a function of the boundary frequency.
- hassager2016 models experiments from Hassager et al. (2016; Fig.6).
- The mean of the seven listeners perceived sound source location (black) as a function of the bandwidth factor and the corresponding model predictions (colored). The model predictions have been shifted slightly to the right for a better visual interpretation. The error bars are one standard error of the mean.
- baumgartner2017 models experiments from Baumgartner et al. (2017).
- Effect of HRTF spectral contrast manipulations on sound externalization. Externalization scores were derived from paired comparisons via Bradley-Terry-Luce modeling.
Requirements:
- SOFA API v0.4.3 or higher from http://sourceforge.net/projects/sofacoustics for Matlab (in e.g. thirdparty/SOFA)
- Data in hrtf/baumgartner2017
- Statistics Toolbox for Matlab (for some of the figures)
Examples:
To display results for Fig.1 from Boyd et al. (2012) use
exp_baumgartner2017('boyd2012');
This code produces the following output:
boyd2012
Sensitivity Error Weight Description
___________ _______ __________ _______________________________________________________________________
MSG 0.4291 0.28535 0.25031 'Monaural spectral gradients (c.f., Baumgartner et al., 2014)'
ISS 0.71543 0.36192 0.059306 'Interaural spectral shape (c.f., Hassager et al., 2016)'
ISSD 0.45381 0.24804 0.12689 'Interaural spectral standard deviation (c.f., Georganti et al., 2013)'
ITSD 1 NaN 0 'Interaural temporal standard deviation (c.f., Catic et al., 2015)'
IC 0.27637 0.23606 0.35923 'Interaural coherence (c.f., Hassager et al., 2017)'
ITIT 0.80947 0.18182 0.20368 'Interaural time-intensity trading (ITD vs. ILD)'
SPL 1.7519 0.4995 0.00058575 'Level difference (target - reference)'
Comb. NaN 0.15591 NaN 'Weighted sum'
MSG x ITIT NaN 0.21109 NaN 'MSG x ITIT interaction'
To display results for Fig.7-8 from Hartmann & Wittenberg (1996) use
exp_baumgartner2017('hartmann1996');
This code produces the following output:
hartmann1996
Sensitivity ErrorExp1 ErrorExp2 Error Weight Description
___________ _________ _________ _______ __________ _______________________________________________________________________
MSG 0.20449 0.29203 0.052801 0.2205 0.62854 'Monaural spectral gradients (c.f., Baumgartner et al., 2014)'
ISS 1.414 0.11607 0.50888 0.35011 0.00077653 'Interaural spectral shape (c.f., Hassager et al., 2016)'
ISSD 4.214 0.39239 0.51638 0.45172 0.00011457 'Interaural spectral standard deviation (c.f., Georganti et al., 2013)'
ITSD 1 NaN NaN NaN 0 'Interaural temporal standard deviation (c.f., Catic et al., 2015)'
IC 0.0089844 0.22577 0.35734 0.29167 0.24021 'Interaural coherence (c.f., Hassager et al., 2017)'
ITIT 1.0986 0.090058 0.47245 0.32204 0.0020065 'Interaural time-intensity trading (ITD vs. ILD)'
SPL 2.7142 0.12651 0.44078 0.30861 0.12835 'Level difference (target - reference)'
Comb. NaN NaN NaN 0.17234 NaN 'Weighted combination'
MSG x ITIT NaN NaN NaN 0.14508 NaN 'MSG x ITIT interaction'
To display results for Fig.6 from Hassager et al. (2016) use
exp_baumgartner2017('hassager2016');
This code produces the following output:
hassager2016
Sensitivity Error Weight Description
___________ _______ __________ _______________________________________________________________________
MSG 0.3626 0.17626 0.59898 'Monaural spectral gradients (c.f., Baumgartner et al., 2014)'
ISS 0.50225 0.23999 0.19527 'Interaural spectral shape (c.f., Hassager et al., 2016)'
ISSD 3.932 0.63248 0.00020801 'Interaural spectral standard deviation (c.f., Georganti et al., 2013)'
ITSD 1 NaN 0 'Interaural temporal standard deviation (c.f., Catic et al., 2015)'
IC 0.081836 0.55002 0.00029572 'Interaural coherence (c.f., Hassager et al., 2017)'
ITIT 0.24336 0.29977 0.20472 'Interaural time-intensity trading (ITD vs. ILD)'
SPL 0.058594 0.61416 0.00053001 'Level difference (target - reference)'
Comb. NaN 0.14517 NaN 'Weighted combination'
MSG x ITIT NaN 0.18795 NaN 'MSG x ITIT interaction'
References:
R. Baumgartner, P. Majdak, H. Colburn, and B. Shinn-Cunningham. Modeling sound externalization based on listener-specific spectral cues. In Acoustics ‘17 Boston: The 3rd Joint Meeting of the Acoustical Society of America and the European Acoustics Association, Boston, MA, Jun 2017. [ DOI ]
A. W. Boyd, W. M. Whitmer, J. J. Soraghan, and M. A. Akeroyd. Auditory externalization in hearing-impaired listeners: The effect of pinna cues and number of talkers. J. Acoust. Soc. Am., 131(3):EL268--EL274, 2012. [ DOI | arXiv | www: ]
W. M. Hartmann and A. Wittenberg. On the externalization of sound images. J. Acoust. Soc. Am., 99(6):3678--88, June 1996. [ http ]
Build with Bootstrap