2023
DOI: 10.3389/fnhum.2023.1214485
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Listening efficiency in adult cochlear-implant users compared with normally-hearing controls at ecologically relevant signal-to-noise ratios

Abstract: IntroductionDue to having to work with an impoverished auditory signal, cochlear-implant (CI) users may experience reduced speech intelligibility and/or increased listening effort in real-world listening situations, compared to their normally-hearing (NH) peers. These two challenges to perception may be usefully integrated in a measure of listening efficiency: conceptually, the amount of accuracy achieved for a certain amount of effort expended.MethodsWe describe a novel approach to quantifying listening effic… Show more

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Cited by 2 publications
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“…However, no study has yet validated this relation for CI users across a similarly wide range of listening conditions (i.e., 9 SNR steps with speech recognition score ranging from 0 to 100%). It is highly likely that CI users do not have similar hearing and physiological status as NH and HI listeners, thus CI users' psychometric relation between listening task and pupillary response might not be the same as in NH and HI listeners (Hughes and Galvin, 2013;Wang et al, 2016;Winn, 2016;Perreau et al, 2017;Perea Pérez et al, 2023). Therefore, without such validation with CI users on this piece of evidence, it is difficult to establish enough confidence to use pupillometry to interpret listening effort and assess efficacy of new CI interventions, such as new signal processing strategies, noise reduction and beamforming algorithms, among others.…”
Section: Introductionmentioning
confidence: 99%
“…However, no study has yet validated this relation for CI users across a similarly wide range of listening conditions (i.e., 9 SNR steps with speech recognition score ranging from 0 to 100%). It is highly likely that CI users do not have similar hearing and physiological status as NH and HI listeners, thus CI users' psychometric relation between listening task and pupillary response might not be the same as in NH and HI listeners (Hughes and Galvin, 2013;Wang et al, 2016;Winn, 2016;Perreau et al, 2017;Perea Pérez et al, 2023). Therefore, without such validation with CI users on this piece of evidence, it is difficult to establish enough confidence to use pupillometry to interpret listening effort and assess efficacy of new CI interventions, such as new signal processing strategies, noise reduction and beamforming algorithms, among others.…”
Section: Introductionmentioning
confidence: 99%