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).
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]