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demo_barumerli2021(flag) demonstrates how to compute and visualize the baseline prediction (localizing broadband sounds with own ears) on the full sphere using the localization model from Barumerli et al. (2021).
Baseline prediction
This demo computes the baseline prediction (localizing broadband sounds with own ears) for an exemplary listener (NH12).
Averaged polar and lateral accuracy
This code produces the following output:
Loading real data from Majdak et al. 2010
Metrics from actual data
lateral_bias []: -1.54
lateral_rms_error []: 8.35
elevation_bias []: 6.55
local_rms_polar []: 27.29
quadrant_err [%]: 2.92
Model simulation starting...
Generating feature space over the uniformily sampled sphere
Simulating subject answers
Metrics from simulated data
lateral_bias []: 0.42
lateral_rms_error []: 11.25
elevation_bias []: 4.85
local_rms_polar []: 29.21
quadrant_err [%]: 6.82
Simulating single estimation
target [az,el]: [0.00, 45.00]
response [az,el]: [163.91, 12.15]