[predicted_SNR, BE, BU] = vicente2020nh(target_in,int_in,fs)
target_in | target |
int_in | interferer |
fs | sampling frequency [Hz] |
predicted_SNR | SNR predicted by the model |
BE | better-ear advantage |
BU | binaural masking level difference advantage |
vicente2020nh computes the effective SNR taking into account BU and BE by respective time frames, taking the target and interferer signals (sampled at fs) as inputs
M. Lavandier, T. Vicente, and L. Prud'homme. A series of snr-based speech intelligibility models in the auditory modeling toolbox. Acta Acustica, 2022.
T. Vicente and M. Lavandier. Further validation of a binaural model predicting speech intelligibility against envelope-modulated noises. Hearing Research, 390(107937), 2020. [ http ]