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- W3217173695 abstract "Listeners with sensorineural hearing loss have significant difficulty understanding speech in noisy environments. Thus, current digital hearing aids employ noise-reduction (NR) algorithms to suppress background noise. Unfortunately, the NR algorithms distort some speech cues. Though considerable variability exists in hearing-aid users’ reactions to these conflicting effects, little is known about the neural underpinnings contributing to the variance in perceptual outcomes with the addition of noise and the use of NR processing. Recently, we documented that neuroimaging-based measures of cortical responses can predict individual speech-in-noise perception benefits (or lack thereof) from NR processing. Here, we describe novel objective subcortical measures for quantifying individual noise tolerance and individual sensitivity to speech-cue distortions. Preliminary results show that the effect of adding noise and introducing NR processing on brainstem responses varies considerably across individuals. Because the brainstem responses are relatively unaffected by cognitive processes like selective attention, these preliminary results suggest an independent “bottom-up” contribution to individual variations in NR benefits. We will also discuss how the neurophysiological measures of subcortical encoding of speech sounds relate to individual profiles of peripheral (cochlear) pathophysiology and to individual perceptual outcomes." @default.
- W3217173695 created "2021-12-06" @default.
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- W3217173695 date "2021-10-01" @default.
- W3217173695 modified "2023-10-18" @default.
- W3217173695 title "Subcortical measures of individual tolerance to background noise and sensitivity to speech distortions induced by noise-reduction processing" @default.
- W3217173695 doi "https://doi.org/10.1121/10.0008498" @default.
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