Volume 6, 2022
Topical Issue - Auditory models: from binaural processing to multimodal cognition
|Number of page(s)||14|
|Published online||26 May 2022|
Predicted binaural release from masking (BRM, shown on the y-axis) defined as the difference between SRTs of the first condition of experiment I (D0N0) and the first condition of experiment III (DπN0) using bBSIM-SII (black line), STINCV (light gray line), and NI-STOI (dark gray line). The back-end reference values are shown on the x-axis. The red line shows the measured BRM of 7.8 dB. The yellow circles show the optimal references, which allows predicting accurately the measured BRM for the SII and the STINCV (see Fig. S3). For the NI-STOI the optimal reference allows predicting the measured BRM with less overestimation (see Fig. S3).
Measured (gray circles connected with gray solid line) and predicted SRTs for experiment III with bBSIM-SII uses the optimal reference (black stars connected with black dashed line) and the original reference (black diamonds connected with dashed lines). See Section 2.5 for details. This figure shows a single reflection of the target speech, which was varied in its delay time. Note that the first condition is always direct sound only.
Difference between predictions of the BRM using the original reference (gray circle) and the optimal reference (yellow circle) for the SII (upper panel), STINCV (middle panel), and NI-STOI (lower panel). Measured BRM of 7.8 dB is marked as red line. See Section 2.5 for details.
Overall prediction accuracy of bBSIM-STINCV and bBSIM-NI-STOI with increased binaural processing errors (by a factor of 1.6 for STINCV and 2.1 for NI-STOI), with coefficient of determination (R2), mean absolute prediction error (ϵmean), maximum absolute prediction error (ϵmax), and root-mean-square error (RMSE) for all 16 experiments.
© The Author(s), Published by EDP Sciences, 2022
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