[predicted_SNR, BE, BU] = vicente2020(target_in,int_in,fs)
|fs||sampling frequency [Hz]|
|predicted_SNR||SNR predicted by the model|
|BU||binaural masking level difference advantage|
VICENTE2020 computes the effective SNR taking into account audibility (audiogram), BU and BE by respective time frames, taking the target and interferer signals (sampled at fs) as inputs, along with the internal noise parameters computed using vicente2020_internalnoise
M. Lavandier. A series of speech intelligibility models in the auditory modeling toolbox. actaunited, 2022.
Collin and Lavandier. Binaural speech intelligibility in rooms with variations in spatial location of sources and modulation depth of noise interferers. jasa, 134(2):1146--1159, 2013.
Vicente and Lavandier. Further validation of a binaural model predicting speech intelligibility against envelope-modulated noises. hearingresearch, 390(107937), 2020. [ http ]