VICENTE2020NH
Compute the effective SNR taking into account better ear and bmld advantages

Usage:

[predicted_SNR, BE, BU] = vicente2020nh(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:

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

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.

T. Vicente and M. Lavandier. Further validation of a binaural model predicting speech intelligibility against envelope-modulated noises. Hearing Research, 390(107937), 2020. [ http ]