Effect of Protective Face Coverings on Sentence Recognition in Noise for Cochlear Implant Patients.

Autor: Vos TG; Department of Otolaryngology-Head & Neck Surgery, University of North Carolina at Chapel Hill., Dedmon MM; Department of Otolaryngology-Head & Neck Surgery, University of North Carolina at Chapel Hill., Buss E; Department of Otolaryngology-Head & Neck Surgery, University of North Carolina at Chapel Hill., Rooth MA; Department of Otolaryngology-Head & Neck Surgery, University of North Carolina at Chapel Hill., Richter ME; Department of Otolaryngology-Head & Neck Surgery, University of North Carolina at Chapel Hill., Dillon MT; Department of Otolaryngology-Head & Neck Surgery, University of North Carolina at Chapel Hill.
Jazyk: angličtina
Zdroj: American journal of audiology [Am J Audiol] 2022 Jun 02; Vol. 31 (2), pp. 427-432. Date of Electronic Publication: 2022 Mar 10.
DOI: 10.1044/2021_AJA-21-00173
Abstrakt: Purpose: The purpose of this study was to assess the influence of talker protective face coverings on sentence recognition in noise for cochlear implant users.
Method: The AzBio sentences were recorded in three conditions: (a) without any face covering (uncovered), (b) with an N95 mask, or (c) with an N95 mask plus face shield. Target sentences were presented at 60 dB SPL, and the 10-talker masker was presented at 50 dB SPL (10 dB signal-to-noise ratio. Speech recognition for these auditory stimuli was compared across conditions for 21 adult subjects with at least 6 months of cochlear implant (CI) use.
Results: Significant deterioration in sentence recognition was observed for the N95 plus face shield ( Mdn = 27% [IQR: 14%-35%]) compared with the N95 ( Mdn = 72% [IQR: 55%-78%]) condition and for the N95 compared to uncovered ( Mdn = 86% [IQR: 68%-91%]) condition.
Conclusions: Talker protective face coverings have a significant influence on speech recognition in noise for CI users. More research is needed to understand the influence of visual cues with protective face coverings that include a plastic component allowing visualization of the talker's face.
Supplemental Material: https://doi.org/10.23641/asha.19326395.
Databáze: MEDLINE
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