Literature DB >> 31940258

Contributions to Speech-Cue Weighting in Older Adults With Impaired Hearing.

Pamela Souza1, Frederick Gallun2, Richard Wright3.   

Abstract

Purpose In a previous paper (Souza, Wright, Blackburn, Tatman, & Gallun, 2015), we explored the extent to which individuals with sensorineural hearing loss used different cues for speech identification when multiple cues were available. Specifically, some listeners placed the greatest weight on spectral cues (spectral shape and/or formant transition), whereas others relied on the temporal envelope. In the current study, we aimed to determine whether listeners who relied on temporal envelope did so because they were unable to discriminate the formant information at a level sufficient to use it for identification and the extent to which a brief discrimination test could predict cue weighting patterns. Method Participants were 30 older adults with bilateral sensorineural hearing loss. The first task was to label synthetic speech tokens based on the combined percept of temporal envelope rise time and formant transitions. An individual profile was derived from linear discriminant analysis of the identification responses. The second task was to discriminate differences in either temporal envelope rise time or formant transitions. The third task was to discriminate spectrotemporal modulation in a nonspeech stimulus. Results All listeners were able to discriminate temporal envelope rise time at levels sufficient for the identification task. There was wide variability in the ability to discriminate formant transitions, and that ability predicted approximately one third of the variance in the identification task. There was no relationship between performance in the identification task and either amount of hearing loss or ability to discriminate nonspeech spectrotemporal modulation. Conclusions The data suggest that listeners who rely to a greater extent on temporal cues lack the ability to discriminate fine-grained spectral information. The fact that the amount of hearing loss was not associated with the cue profile underscores the need to characterize individual abilities in a more nuanced way than can be captured by the pure-tone audiogram.

Entities:  

Mesh:

Year:  2020        PMID: 31940258      PMCID: PMC7213489          DOI: 10.1044/2019_JSLHR-19-00176

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


  41 in total

1.  Inter-relationship between different psychoacoustic measures assumed to be related to the cochlear active mechanism.

Authors:  B C Moore; D A Vickers; C J Plack; A J Oxenham
Journal:  J Acoust Soc Am       Date:  1999-11       Impact factor: 1.840

2.  Initial development of a temporal-envelope-preserving nonlinear hearing aid prescription using a genetic algorithm.

Authors:  Andrew T Sabin; Pamela E Souza
Journal:  Trends Amplif       Date:  2013-06

3.  Survey of Current Practice in the Fitting and Fine-Tuning of Common Signal-Processing Features in Hearing Aids for Adults.

Authors:  Melinda C Anderson; Kathryn H Arehart; Pamela E Souza
Journal:  J Am Acad Audiol       Date:  2018-02       Impact factor: 1.664

4.  Vowel identification by listeners with hearing impairment in response to variation in formant frequencies.

Authors:  Michelle R Molis; Marjorie R Leek
Journal:  J Speech Lang Hear Res       Date:  2011-02-04       Impact factor: 2.297

5.  Auditory and Cognitive Factors Associated with Speech-in-Noise Complaints following Mild Traumatic Brain Injury.

Authors:  Eric C Hoover; Pamela E Souza; Frederick J Gallun
Journal:  J Am Acad Audiol       Date:  2017-04       Impact factor: 1.664

Review 6.  Review article: review of the literature on temporal resolution in listeners with cochlear hearing impairment: a critical assessment of the role of suprathreshold deficits.

Authors:  Charlotte M Reed; Louis D Braida; Patrick M Zurek
Journal:  Trends Amplif       Date:  2008-12-11

7.  Minimum spectral contrast for vowel identification by normal-hearing and hearing-impaired listeners.

Authors:  M R Leek; M F Dorman; Q Summerfield
Journal:  J Acoust Soc Am       Date:  1987-01       Impact factor: 1.840

8.  Information for coarticulation: Static signal properties or formant dynamics?

Authors:  Navin Viswanathan; James S Magnuson; Carol A Fowler
Journal:  J Exp Psychol Hum Percept Perform       Date:  2014-04-14       Impact factor: 3.332

9.  Spectrotemporal modulation sensitivity as a predictor of speech intelligibility for hearing-impaired listeners.

Authors:  Joshua G W Bernstein; Golbarg Mehraei; Shihab Shamma; Frederick J Gallun; Sarah M Theodoroff; Marjorie R Leek
Journal:  J Am Acad Audiol       Date:  2013-04       Impact factor: 1.664

10.  The Effects of Static and Moving Spectral Ripple Sensitivity on Unaided and Aided Speech Perception in Noise.

Authors:  Christi W Miller; Joshua G W Bernstein; Xuyang Zhang; Yu-Hsiang Wu; Ruth A Bentler; Kelly Tremblay
Journal:  J Speech Lang Hear Res       Date:  2018-12-10       Impact factor: 2.297

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  6 in total

1.  Individualized estimation of the Speech Intelligibility Index for short sentences: Test-retest reliability.

Authors:  Yi Shen; Donghyeon Yun; Yi Liu
Journal:  J Acoust Soc Am       Date:  2020-09       Impact factor: 1.840

2.  Relating Suprathreshold Auditory Processing Abilities to Speech Understanding in Competition.

Authors:  Frederick J Gallun; Laura Coco; Tess K Koerner; E Sebastian Lelo de Larrea-Mancera; Michelle R Molis; David A Eddins; Aaron R Seitz
Journal:  Brain Sci       Date:  2022-05-27

3.  Does the Speech Cue Profile Affect Response to Amplitude Envelope Distortion?

Authors:  Pamela E Souza; Gregory Ellis; Kendra Marks; Richard Wright; Frederick Gallun
Journal:  J Speech Lang Hear Res       Date:  2021-05-21       Impact factor: 2.297

4.  Portable Automated Rapid Testing (PART) for auditory assessment: Validation in a young adult normal-hearing population.

Authors:  E Sebastian Lelo de Larrea-Mancera; Trevor Stavropoulos; Eric C Hoover; David A Eddins; Frederick J Gallun; Aaron R Seitz
Journal:  J Acoust Soc Am       Date:  2020-10       Impact factor: 1.840

5.  Robust Data-Driven Auditory Profiling Towards Precision Audiology.

Authors:  Raul Sanchez-Lopez; Michal Fereczkowski; Tobias Neher; Sébastien Santurette; Torsten Dau
Journal:  Trends Hear       Date:  2020 Jan-Dec       Impact factor: 3.293

6.  Spectrotemporal Modulation Sensitivity in Cochlear-Implant and Normal-Hearing Listeners: Is the Performance Driven by Temporal or Spectral Modulation Sensitivity?

Authors:  Ning Zhou; Susannah Dixon; Zhen Zhu; Lixue Dong; Marti Weiner
Journal:  Trends Hear       Date:  2020 Jan-Dec       Impact factor: 3.293

  6 in total

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