VICENTE2020
Compute the effective SNR taking into account BU and BE

Usage:

[predicted_SNR, BE, BU] = vicente2020(target_in,int_in,fs)

Input parameters:

`target_in`	target
`int_in`	interferer
`fs`	sampling frequency [Hz]

Output parameters:

`predicted_SNR`	SNR predicted by the model
`BE`	better-ear advantage
`BU`	binaural masking level difference advantage

Description:

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

References:

M. Lavandier, T. Vicente, and L. Prud'homme. A series of snr-based speech intelligibility models in the auditory modeling toolbox. Acta Acustica, 2022.

B. Collin and M. Lavandier. Binaural speech intelligibility in rooms with variations in spatial location of sources and modulation depth of noise interferers. The Journal of the Acoustical Society of America, 134(2):1146--1159, 2013.

T. Vicente, M. Lavandier, and J. Buchholz. A binaural model implementing an internal noise to predict the effect of hearing impairment on speech intelligibility in non-stationary noises. The Journal of the Acoustical Society of America, 148(5):3305--3317, 2020.