THE AUDITORY MODELING TOOLBOX

Applies to version: 1.0.0

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EXP_LI2020 - experimental results for externalization model from Li et al. (2020)

Description

EXP_LI2020(flag) demonstrates how to apply the model to estimate the degree of externalization
by comparing template and target HRTFs

Examples:

To display measured and predicted results of experiment A use

exp_li2020('exp1');
exp_li2020_1_1.png

To display measured and predicted results of experiment B use

exp_li2020('exp2');
exp_li2020_2_1.png

To display measured and predicted results of experiment C use

exp_li2020('exp3');
exp_li2020_3_1.png

To display measured and predicted results of experiment D use

exp_li2020('exp4');
exp_li2020_4_1.png

To display measured and predicted results of experiment E use

exp_li2020('exp5');
exp_li2020_5_1.png

Requirements:

  1. Data in hrtf/li2020 and auxdata/li2020 (noise_input,...
    ExpResults_LI2020, modified_BRIR_HRTF_dataset)

To make the scripts clear, the general weighting factors are used for calculating the fitted and predicted reults. The fitted results are slightly different than the results in the paper, since the fitted results shown in the paper are calcualted based on the individual weighting factors.

References:

S. Li, R. Baumgartner, and J. Peissig. Modeling perceived externalization of a static, lateral sound image. Acta Acustica, 4(5), 2021.