Literature DB >> 31261213

The Association Between Physiological Noise Levels and Speech Understanding in Noise.

Samantha Stiepan1, Jonathan Siegel1,2, Jungwha Lee3, Pamela Souza1,2, Sumitrajit Dhar1,2.   

Abstract

OBJECTIVES: Traditionally, elevated hearing thresholds have been considered to be the main contributors to difficulty understanding speech in noise; yet, patients will often report difficulties with speech understanding in noise despite having audiometrically normal hearing. The purpose of this cross-sectional study was to critically evaluate the relationship of various metrics of auditory function (behavioral thresholds and otoacoustic emissions) on speech understanding in noise in a large sample of audiometrically normal-hearing individuals.
DESIGN: Behavioral hearing thresholds, distortion product otoacoustic emission (DPOAE) levels, stimulus-frequency otoacoustic emission levels, and physiological noise (quantified using OAE noise floors) were measured from 921 individuals between 10 and 68 years of age with normal pure-tone averages. The quick speech-in-noise (QuickSIN) test outcome, quantified as the signal-to-noise ratio (SNR) loss, was used as the metric of speech understanding in noise. Principle component analysis (PCA) and linear regression modeling were used to evaluate the relationship between the measures of auditory function and speech in noise performance.
RESULTS: Over 25% of participants exhibited mild or worse degree of SNR loss. PCA revealed DPOAE levels at 12.5 to 16 kHz to be significantly correlated with the variation in QuickSIN scores, although correlations were weak (R = 0.017). Out of all the metrics evaluated, higher levels of self-generated physiological noise accounted for the most variance in QuickSIN performance (R = 0.077).
CONCLUSIONS: Higher levels of physiological noise were associated with worse QuickSIN performance in listeners with normal hearing sensitivity. We propose that elevated physiological noise levels in poorer speech in noise performers could diminish the effective SNR, thereby negatively impacting performance as seen by poorer QuickSIN scores.

Entities:  

Year:  2020        PMID: 31261213      PMCID: PMC6933109          DOI: 10.1097/AUD.0000000000000753

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  12 in total

1.  Inhibition of pericranial muscle activity, respiration, and heart rate enhances auditory sensitivity.

Authors:  J J Stekelenburg; A van Boxtel
Journal:  Psychophysiology       Date:  2001-07       Impact factor: 4.016

2.  Effects of Self-Generated Noise on Estimates of Detection Threshold in Quiet for School-Age Children and Adults.

Authors:  Emily Buss; Heather L Porter; Lori J Leibold; John H Grose; Joseph W Hall
Journal:  Ear Hear       Date:  2016 Nov/Dec       Impact factor: 3.570

3.  The intelligibility of speech as a function of the context of the test materials.

Authors:  G A MILLER; G A HEISE; W LICHTEN
Journal:  J Exp Psychol       Date:  1951-05

4.  Comparison of nine methods to estimate ear-canal stimulus levels.

Authors:  Natalie N Souza; Sumitrajit Dhar; Stephen T Neely; Jonathan H Siegel
Journal:  J Acoust Soc Am       Date:  2014-10       Impact factor: 1.840

5.  Characteristics of the 2f(1)-f(2) distortion product otoacoustic emission in a normal hearing population.

Authors:  Gayla L Poling; Jonathan H Siegel; Jungmee Lee; Jungwha Lee; Sumitrajit Dhar
Journal:  J Acoust Soc Am       Date:  2014-01       Impact factor: 1.840

6.  Behavioral hearing thresholds between 0.125 and 20 kHz using depth-compensated ear simulator calibration.

Authors:  Jungmee Lee; Sumitrajit Dhar; Rebekah Abel; Renee Banakis; Evan Grolley; Jungwha Lee; Steven Zecker; Jonathan Siegel
Journal:  Ear Hear       Date:  2012 May-Jun       Impact factor: 3.570

7.  Mathematical treatment of context effects in phoneme and word recognition.

Authors:  A Boothroyd; S Nittrouer
Journal:  J Acoust Soc Am       Date:  1988-07       Impact factor: 1.840

8.  The effects of physiological noise on the auditory threshold.

Authors:  L K Moulin
Journal:  J Speech Hear Res       Date:  1972-12

9.  The relationship between high-frequency pure-tone hearing loss, hearing in noise test (HINT) thresholds, and the articulation index.

Authors:  Andrew J Vermiglio; Sigfrid D Soli; Daniel J Freed; Laurel M Fisher
Journal:  J Am Acad Audiol       Date:  2012 Nov-Dec       Impact factor: 1.664

10.  Selective attention reduces physiological noise in the external ear canals of humans. II: visual attention.

Authors:  Kyle P Walsh; Edward G Pasanen; Dennis McFadden
Journal:  Hear Res       Date:  2014-04-13       Impact factor: 3.208

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  1 in total

1.  AudioChip: A Deep Phenotyping Approach for Deconstructing and Quantifying Audiological Phenotypes of Self-Reported Speech Perception Difficulties.

Authors:  Ishan Sunilkumar Bhatt; Raquel Dias; Nathan Wineinger; Sheila Pratt; Jin Wang; Nilesh Washnik; O'neil Guthrie; Jason Wilder; Ali Torkamani
Journal:  Ear Hear       Date:  2022 May/Jun       Impact factor: 3.562

  1 in total

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