THE AUDITORY MODELING TOOLBOX

Applies to version: 1.1.0

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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. A series of speech intelligibility models in the auditory modeling toolbox. actaunited, 2022.

L. et al. Binaural prediction of speech intelligibility in reverberant rooms with multiple noise sources. jasa, 131(1):218--231, 2012. [ http ]

L. et al. Speech segregation in rooms: Monaural, binaural and interacting effects of reverberation on target and interferer. jasa, 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.