THE AUDITORY MODELING TOOLBOX

Applies to version: 1.6.0

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EXP_mckenzie2022
experiments from McKenzie et al

Usage:

exp_mckenzie2022('fig11d'); % (to plot Figure 11 d).
exp_mckenzie2022('fig11a'); % (to plot Figure 11 a).

Description:

Reproduces the Figures 11a-d from the listening performed in McKenzie et al. (2022). The signals are from McKenzie et al. (2018).

Note: PEAQ and CLL are commented out in this script so that it runs without any additional files necessary. To produce the respective data, download the PEAQ and CLL code: https://github.com/NikolajAndersson/PEAQ and https://www.acoustics.hut.fi/-301ville/software/auditorymodel/. The test sounds (ts.... etc) must be saved as wav files to work with the PEAQ model.

Examples:

To display Figure 11a use :

exp_mckenzie2022('fig11a');
exp_mckenzie2022_1_1.png

This code produces the following output::

BSD correlation=-0.83246, p=1.832e-15

To display Figure 11d use :

exp_mckenzie2022('fig11d');
exp_mckenzie2022_2_1.png

This code produces the following output::

PBC correlation=-0.95281, p=1.2461e-29

References:

T. McKenzie, D. T. Murphy, and G. Kearney. Diffuse-field equalisation of binaural ambisonic rendering. Applied Sciences, 8(10), 2018. [ DOI | http ]

T. McKenzie, C. Armstrong, L. Ward, D. Murphy, and G. Kearney. Predicting the colouration between binaural signals. Appl. Sci., 12(2441), 2022. [ http ]