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      Measuring Speech Intelligibility and Hearing-Aid Benefit Using Everyday Conversational Sentences in Real-World Environments

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          Abstract

          Laboratory and clinical-based assessments of speech intelligibility must evolve to better predict real-world speech intelligibility. One way of approaching this goal is to develop speech intelligibility tasks that are more representative of everyday speech communication outside the laboratory. Here, we evaluate speech intelligibility using both a standard sentence recall task based on clear, read speech (BKB sentences), and a sentence recall task consisting of spontaneously produced speech excised from conversations which took place in realistic background noises (ECO-SiN sentences). The sentences were embedded at natural speaking levels in six realistic background noises that differed in their overall level, which resulted in a range of fixed signal-to-noise ratios. Ten young, normal hearing participants took part in the study, along with 20 older participants with a range of levels of hearing loss who were tested with and without hearing-aid amplification. We found that scores were driven by hearing loss and the characteristics of the background noise, as expected, but also strongly by the speech materials. Scores obtained with the more realistic sentences were generally lower than those obtained with the standard sentences, which reduced ceiling effects for the majority of environments/listeners (but introduced floor effects in some cases). Because ceiling and floor effects limit the potential for observing changes in performance, benefits of amplification were highly dependent on the speech materials for a given background noise and participant group. Overall, the more realistic speech task offered a better dynamic range for capturing individual performance and hearing-aid benefit across the range of real-world environments we examined.

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          Most cited references79

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          Beta Regression for Modelling Rates and Proportions

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            Development of the Hearing in Noise Test for the measurement of speech reception thresholds in quiet and in noise.

            A large set of sentence materials, chosen for their uniformity in length and representation of natural speech, has been developed for the measurement of sentence speech reception thresholds (sSRTs). The mean-squared level of each digitally recorded sentence was adjusted to equate intelligibility when presented in spectrally matched noise to normal-hearing listeners. These materials were cast into 25 phonemically balanced lists of ten sentences for adaptive measurement of sentence sSRTs. The 95% confidence interval for these measurements is +/- 2.98 dB for sSRTs in quiet and +/- 2.41 dB for sSRTs in noise, as defined by the variability of repeated measures with different lists. Average sSRTs in quiet were 23.91 dB(A). Average sSRTs in 72 dB(A) noise were 69.08 dB(A), or -2.92 dB signal/noise ratio. Low-pass filtering increased sSRTs slightly in quiet and noise as the 4- and 8-kHz octave bands were eliminated. Much larger increases in SRT occurred when the 2-kHz octave band was eliminated, and bandwidth dropped below 2.5 kHz. Reliability was not degraded substantially until bandwidth dropped below 2.5 kHz. The statistical reliability and efficiency of the test suit it to practical applications in which measures of speech intelligibility are required.
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              The BKB (Bamford-Kowal-Bench) sentence lists for partially-hearing children.

              Linguistic guidelines for the design of sentences for speech audiometry with children are described, and new lists of test sentences which are based on such guidelines--the Bamford-Kowal-Bench Sentence Lists for Children--are introduced. Audiometric data relating to the use of the new lists are presented and discussed.
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                Author and article information

                Contributors
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                17 March 2022
                2022
                : 16
                : 789565
                Affiliations
                [1] 1ECHO Laboratory, Department of Linguistics, Macquarie University , Sydney, NSW, Australia
                [2] 2Hearing Sciences – Scottish Section, School of Medicine, University of Nottingham , Glasgow, United Kingdom
                [3] 3Department of Speech, Language and Hearing Sciences, Boston University , Boston, MA, United States
                Author notes

                Edited by: Astrid van Wieringen, KU Leuven, Belgium

                Reviewed by: Inyong Choi, The University of Iowa, United States; Hartmut Meister, University of Cologne, Germany; Kirsten Carola Wagener, Hörzentrum Oldenburg GmbH, Germany

                *Correspondence: Kelly Miles, kelly.miles@ 123456mq.edu.au

                This article was submitted to Auditory Cognitive Neuroscience, a section of the journal Frontiers in Neuroscience

                Article
                10.3389/fnins.2022.789565
                8970270
                d1ccf885-374c-4219-9bda-2c8dc94468d4
                Copyright © 2022 Miles, Beechey, Best and Buchholz.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 05 October 2021
                : 17 February 2022
                Page count
                Figures: 6, Tables: 4, Equations: 0, References: 79, Pages: 16, Words: 11115
                Funding
                Funded by: Australian Government, doi 10.13039/100015539;
                Funded by: National Institute on Deafness and Other Communication Disorders, doi 10.13039/100000055;
                Categories
                Neuroscience
                Original Research

                Neurosciences
                speech intelligibility,hearing aid benefit,realistic speech,clinical assessment development,speech in noise,eco-sin

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