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      Effects of experience on recognition of speech produced with a face mask

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          Abstract

          Over the past two years, face masks have been a critical tool for preventing the spread of COVID-19. While previous studies have examined the effects of masks on speech recognition, much of this work was conducted early in the pandemic. Given that human listeners are able to adapt to a wide variety of novel contexts in speech perception, an open question concerns the extent to which listeners have adapted to masked speech during the pandemic. In order to evaluate this, we replicated Toscano and Toscano (PLOS ONE 16(2):e0246842, 2021), looking at the effects of several types of face masks on speech recognition in different levels of multi-talker babble noise. We also examined the effects of listeners’ self-reported frequency of encounters with masked speech and the effects of the implementation of public mask mandates on speech recognition. Overall, we found that listeners’ performance in the current experiment (with data collected in 2021) was similar to that of listeners in Toscano and Toscano (with data collected in 2020) and that performance did not differ based on mask experience. These findings suggest that listeners may have already adapted to masked speech by the time data were collected in 2020, are unable to adapt to masked speech, require additional context to be able to adapt, or that talkers also changed their productions over time. Implications for theories of perceptual learning in speech are discussed.

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          The online version contains supplementary material available at 10.1186/s41235-022-00388-4.

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            Development of the Hearing in Noise Test for the measurement of speech reception thresholds in quiet and in noise.

            A large set of sentence materials, chosen for their uniformity in length and representation of natural speech, has been developed for the measurement of sentence speech reception thresholds (sSRTs). The mean-squared level of each digitally recorded sentence was adjusted to equate intelligibility when presented in spectrally matched noise to normal-hearing listeners. These materials were cast into 25 phonemically balanced lists of ten sentences for adaptive measurement of sentence sSRTs. The 95% confidence interval for these measurements is +/- 2.98 dB for sSRTs in quiet and +/- 2.41 dB for sSRTs in noise, as defined by the variability of repeated measures with different lists. Average sSRTs in quiet were 23.91 dB(A). Average sSRTs in 72 dB(A) noise were 69.08 dB(A), or -2.92 dB signal/noise ratio. Low-pass filtering increased sSRTs slightly in quiet and noise as the 4- and 8-kHz octave bands were eliminated. Much larger increases in SRT occurred when the 2-kHz octave band was eliminated, and bandwidth dropped below 2.5 kHz. Reliability was not degraded substantially until bandwidth dropped below 2.5 kHz. The statistical reliability and efficiency of the test suit it to practical applications in which measures of speech intelligibility are required.
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              Acoustic effects of medical, cloth, and transparent face masks on speech signals a)

              Face masks muffle speech and make communication more difficult, especially for people with hearing loss. This study examines the acoustic attenuation caused by different face masks, including medical, cloth, and transparent masks, using a head-shaped loudspeaker and a live human talker. The results suggest that all masks attenuate frequencies above 1 kHz, that attenuation is greatest in front of the talker, and that there is substantial variation between mask types, especially cloth masks with different materials and weaves. Transparent masks have poor acoustic performance compared to both medical and cloth masks. Most masks have little effect on lapel microphones, suggesting that existing sound reinforcement and assistive listening systems may be effective for verbal communication with masks.
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                Author and article information

                Contributors
                anne.crinnion@uconn.edu
                Journal
                Cogn Res Princ Implic
                Cogn Res Princ Implic
                Cognitive Research: Principles and Implications
                Springer International Publishing (Cham )
                2365-7464
                26 May 2022
                26 May 2022
                December 2022
                : 7
                : 46
                Affiliations
                [1 ]GRID grid.63054.34, ISNI 0000 0001 0860 4915, Department of Psychological Sciences, , University of Connecticut, ; Storrs, USA
                [2 ]GRID grid.267871.d, ISNI 0000 0001 0381 6134, Department of Psychological and Brain Sciences, , Villanova University, ; Villanova, USA
                Author information
                http://orcid.org/0000-0002-4810-5317
                Article
                388
                10.1186/s41235-022-00388-4
                9134148
                35616742
                e3573694-674e-4cca-887f-574e28c13626
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 13 October 2021
                : 13 April 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: T32 DC017703
                Funded by: FundRef http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: 1945069
                Award ID: 2018933
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100007226, Villanova University;
                Funded by: FundRef http://dx.doi.org/10.13039/100007226, Villanova University;
                Categories
                Original Article
                Custom metadata
                © The Author(s) 2022

                speech perception,perceptual learning,covid-19,face masks

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