A binaural model predicting speech intelligibility in envelope-modulated noise for normal-hearing (NH) and hearing-impaired listeners is proposed. The study shows the importance of considering an internal noise with two components relying on the individual audiogram and the level of the external stimuli. The model was optimized and verified using speech reception thresholds previously measured in three experiments involving NH and hearing-impaired listeners and sharing common methods. The anechoic target, in front of the listener, was presented simultaneously through headphones with two anechoic noise-vocoded speech maskers (VSs) either co-located with the target or spatially separated using an infinite broadband interaural level difference without crosstalk between ears. In experiment 1, two stationary noise maskers were also tested. In experiment 2, the VSs were presented at different sensation levels to vary audibility. In experiment 3, the effects of realistic interaural time and level differences were also tested. The model was applied to two datasets involving NH listeners to verify its backward compatibility. It was optimized to predict the data, leading to a correlation and mean absolute error between data and predictions above 0.93 and below 1.1 dB, respectively. The different internal noise approaches proposed in the literature to describe hearing impairment are discussed.
This study investigated the effect of hearing loss on binaural unmasking (BU) for the intelligibility of speech in noise. Speech reception thresholds (SRTs) were measured with normal-hearing (NH) listeners and older mildly hearing-impaired (HI) listeners while varying the presentation level of the stimuli, reverberation, modulation of the noise masker, and spatial separation of the speech and noise sources. On average across conditions, the NH listeners benefited more (by 0.6 dB) from BU than HI listeners. The binaural intelligibility model developed by Vicente, Lavandier, and Buchholz [J. Acoust. Soc. Am. 148, 3305–3317 (2020)] was used to describe the data, accurate predictions were obtained for the conditions considering moderate noise levels [50 and 60 dB sound pressure level (SPL)]. The interaural jitters that were involved in the prediction of BU had to be revised to describe the data measured at a lower level (40 dB SPL). Across all tested conditions, the correlation between the measured and predicted SRTs was 0.92, whereas the mean prediction error was 0.9 dB.
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