LAVANDIER2022
Compute the binaural 'effective' target-to-interferer ratio

Usage:

[twoears_benefit, weighted_bmld, weighted_better_ear] = lavandier2022(target_in,int_in,fs)

Input parameters:

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

Output parameters:

`twoears_benefit`	effective target to interferer ratio
`weighted_bmld`	weighted binaural masking level difference
`weighted_better_ear`
	weighted better ear advantage

Description:

lavandier2022 computes the binaural 'effective' target-to-interferer ratio. target_in and int_in are signals produced at the ears: stereo files (2-column matrices) of the same sampling frequency fs

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.

M. Lavandier, S. Jelfs, J. Culling, A. Watkins, A. Raimond, and S. Makin. Binaural prediction of speech intelligibility in reverberant rooms with multiple noise sources. The Journal of the Acoustical Society of America, 131(1):218--231, 2012. [ http ]

M. Lavandier and J. Culling. Speech segregation in rooms: Monaural, binaural and interacting effects of reverberation on target and interferer. The Journal of the Acoustical Society of America, 123(4):2237--2248, 2008. [ http ]

S. Jelfs, J. Culling, and M. Lavandier. Revision and validation of a binaural model for speech intelligibility in noise. Hearing Research, 2011.