Literature DB >> 30986140

Identification of the Spectrotemporal Modulations That Support Speech Intelligibility in Hearing-Impaired and Normal-Hearing Listeners.

Jonathan H Venezia1,2, Allison-Graham Martin3, Gregory Hickok3, Virginia M Richards3.   

Abstract

Purpose Age-related sensorineural hearing loss can dramatically affect speech recognition performance due to reduced audibility and suprathreshold distortion of spectrotemporal information. Normal aging produces changes within the central auditory system that impose further distortions. The goal of this study was to characterize the effects of aging and hearing loss on perceptual representations of speech. Method We asked whether speech intelligibility is supported by different patterns of spectrotemporal modulations (STMs) in older listeners compared to young normal-hearing listeners. We recruited 3 groups of participants: 20 older hearing-impaired (OHI) listeners, 19 age-matched normal-hearing listeners, and 10 young normal-hearing (YNH) listeners. Listeners performed a speech recognition task in which randomly selected regions of the speech STM spectrum were revealed from trial to trial. The overall amount of STM information was varied using an up-down staircase to hold performance at 50% correct. Ordinal regression was used to estimate weights showing which regions of the STM spectrum were associated with good performance (a "classification image" or CImg). Results The results indicated that (a) large-scale CImg patterns did not differ between the 3 groups; (b) weights in a small region of the CImg decreased systematically as hearing loss increased; (c) CImgs were also nonsystematically distorted in OHI listeners, and the magnitude of this distortion predicted speech recognition performance even after accounting for audibility; and (d) YNH listeners performed better overall than the older groups. Conclusion We conclude that OHI/older normal-hearing listeners rely on the same speech STMs as YNH listeners but encode this information less efficiently. Supplemental Material https://doi.org/10.23641/asha.7859981.

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Year:  2019        PMID: 30986140      PMCID: PMC6802883          DOI: 10.1044/2018_JSLHR-H-18-0045

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  67 in total

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8.  Hearing loss prevalence in the United States.

Authors:  Frank R Lin; John K Niparko; Luigi Ferrucci
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9.  Longitudinal Changes in Audiometric Phenotypes of Age-Related Hearing Loss.

Authors:  Kenneth I Vaden; Lois J Matthews; Mark A Eckert; Judy R Dubno
Journal:  J Assoc Res Otolaryngol       Date:  2016-11-09

10.  The modulation transfer function for speech intelligibility.

Authors:  Taffeta M Elliott; Frédéric E Theunissen
Journal:  PLoS Comput Biol       Date:  2009-03-06       Impact factor: 4.475

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  5 in total

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Authors:  Jonathan H Venezia; Virginia M Richards; Gregory Hickok
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2.  Identification of novel variants in MYO15A, OTOF, and RDX with hearing loss by next-generation sequencing.

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Journal:  Mol Genet Genomic Med       Date:  2019-06-28       Impact factor: 2.183

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4.  Contributions of Age-Related and Audibility-Related Deficits to Aided Consonant Identification in Presbycusis: A Causal-Inference Analysis.

Authors:  Léo Varnet; Agnès C Léger; Sophie Boucher; Crystel Bonnet; Christine Petit; Christian Lorenzi
Journal:  Front Aging Neurosci       Date:  2021-03-01       Impact factor: 5.750

5.  Mechanisms of Spectrotemporal Modulation Detection for Normal- and Hearing-Impaired Listeners.

Authors:  Emmanuel Ponsot; Léo Varnet; Nicolas Wallaert; Elza Daoud; Shihab A Shamma; Christian Lorenzi; Peter Neri
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  5 in total

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