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Modeling the influence of COVID-19 protective measures on the mechanics of phonation.
Deng, Jonathan J; Serry, Mohamed A; Zañartu, Matías; Erath, Byron D; Peterson, Sean D.
  • Deng JJ; Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.
  • Serry MA; Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.
  • Zañartu M; Department of Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso, Chile.
  • Erath BD; Mechanical and Aerospace Engineering, Clarkson University, Potsdam, New York 13699, USA.
  • Peterson SD; Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.
J Acoust Soc Am ; 151(5): 2987, 2022 05.
Article in English | MEDLINE | ID: covidwho-1861565
ABSTRACT
In an effort to mitigate the 2019 novel coronavirus disease pandemic, mask wearing and social distancing have become standard practices. While effective in fighting the spread of the virus, these protective measures have been shown to deteriorate speech perception and sound intensity, which necessitates speaking louder to compensate. The goal of this paper is to investigate via numerical simulations how compensating for mask wearing and social distancing affects measures associated with vocal health. A three-mass body-cover model of the vocal folds (VFs) coupled with the sub- and supraglottal acoustic tracts is modified to incorporate mask and distance dependent acoustic pressure models. The results indicate that sustaining target levels of intelligibility and/or sound intensity while using these protective measures may necessitate increased subglottal pressure, leading to higher VF collision and, thus, potentially inducing a state of vocal hyperfunction, a progenitor to voice pathologies.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Voice / COVID-19 Limits: Humans Language: English Journal: J Acoust Soc Am Year: 2022 Document Type: Article Affiliation country: 10.0009822

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Voice / COVID-19 Limits: Humans Language: English Journal: J Acoust Soc Am Year: 2022 Document Type: Article Affiliation country: 10.0009822