Literature DB >> 30950687

Toward Routine Assessments of Auditory Filter Shape.

Yi Shen1, Allison B Kern1, Virginia M Richards2.   

Abstract

Purpose A Bayesian adaptive procedure, that is, the quick auditory filter (qAF) procedure, has been shown to improve the efficiency for estimating auditory filter shapes of listeners with normal hearing. The current study evaluates the accuracy and test-retest reliability of the qAF procedure for naïve listeners with a variety of ages and hearing status. Method Fifty listeners who were naïve to psychophysical experiments and exhibit wide ranges of age (19-70 years) and hearing threshold (-5 to 70 dB HL at 2 kHz) were recruited. Their auditory filter shapes were estimated for a 15-dB SL target tone at 2 kHz using both the qAF procedure and the traditional threshold-based procedure. The auditory filter model was defined using 3 parameters: (a) the sharpness of the tip portion of the auditory filter, p; (b) the prominence of the low-frequency tail of the filter, 10log( w); and (c) the listener's efficiency in detection, 10log( K). Results The estimated parameters of the auditory filter model were consistent between 2 qAF runs tested on 2 separate days. The parameter estimates from the 2 qAF runs also agreed well with those estimated using the traditional procedure despite being substantially faster. Across the 3 auditory filter estimates, the dependence of the auditory filter parameters on listener age and hearing threshold was consistent across procedures, as well as consistent with previously published estimates. Conclusions The qAF procedure demonstrates satisfactory test-retest reliability and good agreement to the traditional procedure for listeners with a wide range of ages and with hearing status ranging from normal hearing to moderate hearing impairment.

Entities:  

Year:  2019        PMID: 30950687      PMCID: PMC6436893          DOI: 10.1044/2018_JSLHR-H-18-0092

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


  49 in total

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Authors:  Yi Shen; Virginia M Richards
Journal:  J Acoust Soc Am       Date:  2013-08       Impact factor: 1.840

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Journal:  J Acoust Soc Am       Date:  2017-04       Impact factor: 1.840

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Journal:  J Acoust Soc Am       Date:  1986-04       Impact factor: 1.840

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Authors:  Van Summers; Matthew J Makashay; Sarah M Theodoroff; Marjorie R Leek
Journal:  J Am Acad Audiol       Date:  2013-04       Impact factor: 1.664

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  2 in total

1.  Changes in audiometric threshold and frequency selectivity correlate with cochlear histopathology in macaque monkeys with permanent noise-induced hearing loss.

Authors:  Jane A Burton; Chase A Mackey; Kaitlyn S MacDonald; Troy A Hackett; Ramnarayan Ramachandran
Journal:  Hear Res       Date:  2020-09-24       Impact factor: 3.208

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Authors:  Josef Schlittenlacher; Richard E Turner; Brian C J Moore
Journal:  Trends Hear       Date:  2020 Jan-Dec       Impact factor: 3.293

  2 in total

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