A glimpse-based approach for predicting binaural intelligibility with single and multiple maskers in anechoic conditions
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A distortion-weighted glimpsing metric developed for estimatingmonaural speech intelligibility is extended to predict binauralspeech intelligibility in noise. Two aspects of binaural listening,the better ear effect and the binaural advantage, are takeninto account in the new metric, which predicts intelligibility usingmonaural target and masker signals and their location, andis therefore able to provide intelligibility estimates in situationswhere binaural signals are not readily available. Perceptual listeningexperiments were conducted to evaluate the predictivepower of the proposed metric for speech in the presence of singleand multiple maskers in anechoic conditions, for a rangeof source/masker azimuth combinations. The binaural metricis highly correlated (ρ > 0.9) with listeners’ performance inall conditions tested, but overestimates intelligibility somewhatin conditions where multiple maskers are present and the targetspeech source location is unknown.