[twoears_benefit, weighted_bmld, weighted_better_ear] = lavandier2022(target_in,int_in,fs)
|fs||sampling frequency [Hz]|
|twoears_benefit||effective target to interferer ratio|
|weighted_bmld||weighted binaural masking level difference|
|weighted better ear advantage|
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
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.