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DOI: 10.1055/s-0042-1746799
The influence of face masks on speech intelligibility of cochlear implant users
Hearing impaired listeners heavily rely on facial expressions and unfiltered speech signals for a sufficient speech understanding. Due to the current Covid-19 pandemic face masks are worn by almost everyone every day. They therefore interfere especially with the communication of hearing impaired listeners.
We used a modified audiovisual German matrix sentence test (AV-OLSA)<sup>1 </sup>to further evaluate the effect of face masks on speech intelligibility in a cohort of cochlear implant users (CI, n=15) and a control group of normal hearing listeners (NH, n=5). Besides “audio-only”, “visual-only” and “audiovisual” conditions, we added modified conditions. These consisted of an audiovisual condition with a simulated mask and an audio signal, which was edited according to the acoustic filter properties of different face masks (surgical and FFP-2).
Our preliminary data show a gain of 5.3 dB (CI) and 2.6 dB (NH) in speech reception thresholds at 80% word recognition (SRT80%) respectively, if a speaker’s video is added to an unfiltered audio signal.
Different types of face masks (surgical and FFP-2) led to a deterioration in SRT80% in both groups of up to 7.6 dB (CI) and 4.2 dB (NH) when compared to an unfiltered audiovisual condition without a face mask. The acoustic filter properties of the face masks accounted for up to 2.2 dB (CI) and 1.5 dB (NH) of the deterioration in SRT80%. This effect was therefore less distinct compared to the effect of a missing video signal.
Face masks complicate the daily communication. These effects are already detectable in a cohort of normal hearing listeners<sup>2</sup > and even more pronounced in hearing impaired listeners, e.g. cochlear implant users.
1) Llorach G et al., Int J Audiol , 2021.
2) Sönnichsen R et al., Otol Neurotol, accepted for publication.
Publication History
Article published online:
24 May 2022
© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).
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