360
Views
3
CrossRef citations to date
0
Altmetric
Original Article

Speech perception in noise, gap detection and amplitude modulation detection in suspected hidden hearing loss

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 203-211 | Published online: 21 Jan 2021
 

Abstract

Objectives

The objectives of the study were to investigate speech in noise perception, gap detection, and amplitude modulation detection in construction workers exposed to occupational noise, but had normal peripheral hearing. Hidden hearing loss characterized by suprathreshold processing deficits in the absence of affected hearing sensitivity was thus probed.

Materials and methods

Participants were 12 construction workers with chronic exposure to high levels of noise, but had hearing sensitivity and distortion product otoacoustic emissions within normal limits. The control group consisted of age-matched participants with no significant noise exposure. Speech in noise perception was assessed at 0 dB SNR using bi-syllabic words and Gap detection as well as Amplitude modulation detection were assessed with broadband noise.

Results

Speech in noise perception and Gap detection thresholds were significantly poorer in the noise-exposed group while Amplitude modulation detection performance did not differ significantly between the two groups.

Conclusions

Affected suprathreshold perception in the absence of peripheral hearing loss suggests the presence of a hidden hearing loss due to noise exposure. However, the disorder is subtle, and the variability is high, leading to heterogeneity in findings across studies. Studies with higher power and active replications are required to characterize cochlear synaptopathy better.

Acknowledgements

We thank the participants for their kind co-operation. We would also like to thank the Director, All India Institute of Speech and Hearing, and the HOD, Department of Audiology for permitting us to conduct the study.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.