Psychometric function for speech-in-noise tests accounts for word-recognition deficits in older listeners

Roß, Bernhard; Dobri, Simon; Schumann, Annette

doi:10.1121/10.0003956

Cited by 8 publications

(5 citation statements)

References 82 publications

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“…The audiological profiles of the ACHIEVE participants are similar to large population-based reports (Humes, 2023;Reed et al, 2023). The degree of trouble listening in background noise, measured with the QuickSIN test, was consistent with similar patient populations, including community-dwelling adults and Veterans (McArdle & Wilson, 2006;Ou & Wetmore, 2020;Ross et al, 2021;Wilson et al, 2007). It was interesting to see statistically significant difference in speech-noise performance across sites, which may be clinically meaningful and warrant future analyses including multivariable modeling to determine the influence of non-auditory variables (e.g., social determinants of health).…”

Section: Discussionsupporting

confidence: 69%

Description of the Baseline Audiologic Characteristics of the Participants Enrolled in the Aging and Cognitive Health Evaluation in Elders Study

Sanchez,

Arnold,

Betz

et al. 2024

Am J Audiol

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Purpose: The Aging and Cognitive Health Evaluation in Elders (ACHIEVE) study is a randomized clinical trial designed to determine the effects of a best-practice hearing intervention versus a successful aging health education control intervention on cognitive decline among community-dwelling older adults with untreated mild-to-moderate hearing loss. We describe the baseline audiologic characteristics of the ACHIEVE participants. Method: Participants aged 70–84 years ( N = 977; M age = 76.8) were enrolled at four U.S. sites through two recruitment routes: (a) an ongoing longitudinal study and (b) de novo through the community. Participants underwent diagnostic evaluation including otoscopy, tympanometry, pure-tone and speech audiometry, speech-in-noise testing, and provided self-reported hearing abilities. Baseline characteristics are reported as frequencies (percentages) for categorical variables or medians (interquartiles, Q1–Q3) for continuous variables. Between-groups comparisons were conducted using chi-square tests for categorical variables or Kruskal–Wallis test for continuous variables. Spearman correlations assessed relationships between measured hearing function and self-reported hearing handicap. Results: The median four-frequency pure-tone average of the better ear was 39 dB HL, and the median speech-in-noise performance was a 6-dB SNR loss, indicating mild speech-in-noise difficulty. No clinically meaningful differences were found across sites. Significant differences in subjective measures were found for recruitment route. Expected correlations between hearing measurements and self-reported handicap were found. Conclusions: The extensive baseline audiologic characteristics reported here will inform future analyses examining associations between hearing loss and cognitive decline. The final ACHIEVE data set will be publicly available for use among the scientific community. Supplemental Material: https://doi.org/10.23641/asha.24756948

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Section: Discussionsupporting

confidence: 69%

Description of the Baseline Audiologic Characteristics of the Participants Enrolled in the Aging and Cognitive Health Evaluation in Elders Study

Sanchez,

Arnold,

Betz

et al. 2024

Am J Audiol

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“…The prediction is that at increasing noise levels, the pattern difference between noisy speech and clear speech would become greater and greater, corresponding to the decrease in perceptual intelligibility. The relationship between physical signal to noise ratio and perceptual intelligibility follows a typically S-shaped psychometric function ( Ross et al, 2021 ) and it would be interesting to ascertain if the multivariate metric took a similar form with increasing noise levels.…”

Section: Discussionmentioning

confidence: 99%

Multivariate fMRI responses in superior temporal cortex predict visual contributions to, and individual differences in, the intelligibility of noisy speech

et al. 2023

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“…The difference compared to the SNR50 in the normal population is termed SNR loss. Instead, we used the term SIN loss [ 66 ].…”

Section: Methodsmentioning

confidence: 99%

Adaptive Syllable Training Improves Phoneme Identification in Older Listeners with and without Hearing Loss

Schumann

Roß

2022

Audiology Research

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Acoustic-phonetic speech training mitigates confusion between consonants and improves phoneme identification in noise. A novel training paradigm addressed two principles of perceptual learning. First, training benefits are often specific to the trained material; therefore, stimulus variability was reduced by training small sets of phonetically similar consonant–vowel–consonant syllables. Second, the training is most efficient at an optimal difficulty level; accordingly, the noise level was adapted to the participant’s competency. Fifty-two adults aged between sixty and ninety years with normal hearing or moderate hearing loss participated in five training sessions within two weeks. Training sets of phonetically similar syllables contained voiced and voiceless stop and fricative consonants, as well as voiced nasals and liquids. Listeners identified consonants at the onset or the coda syllable position by matching the syllables with their orthographic equivalent within a closed set of three alternative symbols. The noise level was adjusted in a staircase procedure. Pre–post-training benefits were quantified as increased accuracy and a decrease in the required signal-to-noise ratio (SNR) and analyzed with regard to the stimulus sets and the participant’s hearing abilities. The adaptive training was feasible for older adults with various degrees of hearing loss. Normal-hearing listeners performed with high accuracy at lower SNR after the training. Participants with hearing loss improved consonant accuracy but still required a high SNR. Phoneme identification improved for all stimulus sets. However, syllables within a set required noticeably different SNRs. Most significant gains occurred for voiced and voiceless stop and (af)fricative consonants. The training was beneficial for difficult consonants, but the easiest to identify consonants improved most prominently. The training enabled older listeners with different capabilities to train and improve at an individual ’edge of competence’.

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Psychometric function for speech-in-noise tests accounts for word-recognition deficits in older listeners

Cited by 8 publications

References 82 publications

Description of the Baseline Audiologic Characteristics of the Participants Enrolled in the Aging and Cognitive Health Evaluation in Elders Study

Description of the Baseline Audiologic Characteristics of the Participants Enrolled in the Aging and Cognitive Health Evaluation in Elders Study

Multivariate fMRI responses in superior temporal cortex predict visual contributions to, and individual differences in, the intelligibility of noisy speech

Adaptive Syllable Training Improves Phoneme Identification in Older Listeners with and without Hearing Loss

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