Development of an Arabic “command in noise” hearing test to assess fitness for duty
Development of an Arabic “command in noise” hearing test to assess fitness for duty
Objective: the goal is to implement the developed speech material in a hearing test to assess auditory fitness for duty (AFFD), specifically in areas where the intelligibility of spoken commands is essential.
Design: in study 1, a speech corpus with equal intelligibility was constructed using constant stimuli to test each target word’s psychometric functions. Study 2 used an adaptive interleaving procedure to maximize equalized terms. Study 3 used Monte Carlo simulations to determine speech test accuracy. Study sample: Study 1 (n = 24) and study 2 (n = 20) were completed by civilians with normal hearing. Study 3 ran 10,000 simulations per condition across various conditions varying in slopes and speech recognition thresholds (SRTs).
Results: studies 1 and 2 produced three 8-word wordlists. The mean, standard deviation in dB SNR is −13.1 1.2 for wordlist 1, −13.7 1.6 for wordlist 2, and −13.7 1.3 for wordlist 3, with word SRTs within 3.4 dB SNR. Study 3 revealed that a 6 dB SNR range is appropriate for equally understandable speech using a closed-set adaptive technique.
Conclusion: the developed speech corpus may be used in an AFFD measure. Concerning the homogeneity of the speech in noise test material, care should be taken when generalizing and using ranges and standard deviations from multiple tests.
Arabic language, military, noise hearing tests, psychoacoustics, speech
104-112
Rawas, Iman
d163311e-05ea-4919-9d0f-db0d571df02a
Rowan, Daniel
dcd408e3-e5ad-4976-bfa4-27488821979f
Semeraro, Hannah
35b3bdf0-49cf-41ea-a37f-50884b5b349f
Bleeck, Stefan
c888ccba-e64c-47bf-b8fa-a687e87ec16c
Bamanie, Afaf
3b7abd7a-645d-4c59-8e63-c1f74772019a
2023
Rawas, Iman
d163311e-05ea-4919-9d0f-db0d571df02a
Rowan, Daniel
dcd408e3-e5ad-4976-bfa4-27488821979f
Semeraro, Hannah
35b3bdf0-49cf-41ea-a37f-50884b5b349f
Bleeck, Stefan
c888ccba-e64c-47bf-b8fa-a687e87ec16c
Bamanie, Afaf
3b7abd7a-645d-4c59-8e63-c1f74772019a
Rawas, Iman, Rowan, Daniel, Semeraro, Hannah, Bleeck, Stefan and Bamanie, Afaf
(2023)
Development of an Arabic “command in noise” hearing test to assess fitness for duty.
Noise and Health, 25 (117), .
(doi:10.4103/nah.nah_69_22).
Abstract
Objective: the goal is to implement the developed speech material in a hearing test to assess auditory fitness for duty (AFFD), specifically in areas where the intelligibility of spoken commands is essential.
Design: in study 1, a speech corpus with equal intelligibility was constructed using constant stimuli to test each target word’s psychometric functions. Study 2 used an adaptive interleaving procedure to maximize equalized terms. Study 3 used Monte Carlo simulations to determine speech test accuracy. Study sample: Study 1 (n = 24) and study 2 (n = 20) were completed by civilians with normal hearing. Study 3 ran 10,000 simulations per condition across various conditions varying in slopes and speech recognition thresholds (SRTs).
Results: studies 1 and 2 produced three 8-word wordlists. The mean, standard deviation in dB SNR is −13.1 1.2 for wordlist 1, −13.7 1.6 for wordlist 2, and −13.7 1.3 for wordlist 3, with word SRTs within 3.4 dB SNR. Study 3 revealed that a 6 dB SNR range is appropriate for equally understandable speech using a closed-set adaptive technique.
Conclusion: the developed speech corpus may be used in an AFFD measure. Concerning the homogeneity of the speech in noise test material, care should be taken when generalizing and using ranges and standard deviations from multiple tests.
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More information
Accepted/In Press date: 31 March 2023
e-pub ahead of print date: 10 May 2023
Published date: 2023
Keywords:
Arabic language, military, noise hearing tests, psychoacoustics, speech
Identifiers
Local EPrints ID: 485149
URI: http://eprints.soton.ac.uk/id/eprint/485149
ISSN: 1463-1741
PURE UUID: 123d751a-a26c-47ac-9675-fdb1e2b26c6b
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Date deposited: 30 Nov 2023 17:36
Last modified: 06 Jun 2024 01:43
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Contributors
Author:
Iman Rawas
Author:
Daniel Rowan
Author:
Afaf Bamanie
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