Literature DB >> 27743882

Effects of noise on speech recognition: Challenges for communication by service members.

Colleen G Le Prell1, Odile H Clavier2.   

Abstract

Speech communication often takes place in noisy environments; this is an urgent issue for military personnel who must communicate in high-noise environments. The effects of noise on speech recognition vary significantly according to the sources of noise, the number and types of talkers, and the listener's hearing ability. In this review, speech communication is first described as it relates to current standards of hearing assessment for military and civilian populations. The next section categorizes types of noise (also called maskers) according to their temporal characteristics (steady or fluctuating) and perceptive effects (energetic or informational masking). Next, speech recognition difficulties experienced by listeners with hearing loss and by older listeners are summarized, and questions on the possible causes of speech-in-noise difficulty are discussed, including recent suggestions of "hidden hearing loss". The final section describes tests used by military and civilian researchers, audiologists, and hearing technicians to assess performance of an individual in recognizing speech in background noise, as well as metrics that predict performance based on a listener and background noise profile. This article provides readers with an overview of the challenges associated with speech communication in noisy backgrounds, as well as its assessment and potential impact on functional performance, and provides guidance for important new research directions relevant not only to military personnel, but also to employees who work in high noise environments.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Communication; Hearing-in-noise; Hidden hearing loss; Military; Noise exposure; Occupational noise; Service member; Speech

Mesh:

Year:  2016        PMID: 27743882     DOI: 10.1016/j.heares.2016.10.004

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  15 in total

1.  Effects of noise overexposure on tone detection in noise in nonhuman primates.

Authors:  Samantha N Hauser; Jane A Burton; Evan T Mercer; Ramnarayan Ramachandran
Journal:  Hear Res       Date:  2017-11-09       Impact factor: 3.208

2.  Synaptopathy in Guinea Pigs Induced by Noise Mimicking Human Experience and Associated Changes in Auditory Signal Processing.

Authors:  Li Xia; Sara Ripley; Zhenhua Jiang; Xue Yin; Zhiping Yu; Steve J Aiken; Jian Wang
Journal:  Front Neurosci       Date:  2022-07-06       Impact factor: 5.152

3.  Distorted Tonotopy Severely Degrades Neural Representations of Connected Speech in Noise following Acoustic Trauma.

Authors:  Satyabrata Parida; Michael G Heinz
Journal:  J Neurosci       Date:  2022-01-04       Impact factor: 6.709

4.  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

5.  Using Thresholds in Noise to Identify Hidden Hearing Loss in Humans.

Authors:  Courtney L Ridley; Judy G Kopun; Stephen T Neely; Michael P Gorga; Daniel M Rasetshwane
Journal:  Ear Hear       Date:  2018 Sep/Oct       Impact factor: 3.570

Review 6.  Effects of Recreational Noise on Threshold and Suprathreshold Measures of Auditory Function.

Authors:  Angela N C Fulbright; Colleen G Le Prell; Scott K Griffiths; Edward Lobarinas
Journal:  Semin Hear       Date:  2017-10-10

7.  Hidden Hearing Loss? No Effect of Common Recreational Noise Exposure on Cochlear Nerve Response Amplitude in Humans.

Authors:  Sarah K Grinn; Kathryn B Wiseman; Jason A Baker; Colleen G Le Prell
Journal:  Front Neurosci       Date:  2017-09-01       Impact factor: 4.677

8.  Impact of hearing aid noise reduction algorithms on the speech-evoked auditory brainstem response.

Authors:  Hye Yoon Seol; Suyeon Park; Yoon Sang Ji; Sung Hwa Hong; Il Joon Moon
Journal:  Sci Rep       Date:  2020-07-01       Impact factor: 4.379

9.  Evaluation of cochlear activity in normal-hearing musicians.

Authors:  Nilesh J Washnik; Ishan Sunilkumar Bhatt; Susan L Phillips; Denise Tucker; Scott Richter
Journal:  Hear Res       Date:  2020-07-08       Impact factor: 3.208

Review 10.  Prevention of Noise-Induced Hearing Loss Using Investigational Medicines for the Inner Ear: Previous Trial Outcomes Should Inform Future Trial Design.

Authors:  Colleen G Le Prell
Journal:  Antioxid Redox Signal       Date:  2021-10-04       Impact factor: 7.468

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