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10.1371/journal.pone.0246842 http://scihub22266oqcxt.onion/10.1371/journal.pone.0246842 33626073!7904190!33626073     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2021 ; 16 (2): e0246842 Nephropedia Template TP {{tp|p=33626073|t=2021. Effects of face masks on speech recognition in multi-talker babble noise |pdf=|usr=}}{{33626073}} gab.com Text Effects of face masks on speech recognition in multi-talker babble noise JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33626073 #FOAvip Face masks are an important tool for preventing the spread of COVID-19. However, it is unclear how different types of masks affect speech recognition in different levels of background noise. To address this, we investigated the effects of four masks (a surgical mask, N95 respirator, and two cloth masks) on recognition of spoken sentences in multi-talker babble. In low levels of background noise, masks had little to no effect, with no more than a 5.5% decrease in mean accuracy compared to a no-mask condition. In high levels of noise, mean accuracy was 2.8-18.2% lower than the no-mask condition, but the surgical mask continued to show no significant difference. The results demonstrate that different types of masks generally yield similar accuracy in low levels of background noise, but differences between masks become more apparent in high levels of noise. Twit Text FOAVip Effects of face masks on speech recognition in multi-talker babble noise ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33626073 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33626073 #FOAvip English Wikipedia <ref>{{Cite pmid|33626073}}</ref> Effects of face masks on speech recognition in multi-talker babble noise #MMPMID33626073 Toscano JC; Toscano CM PLoS One 2021[]; 16 (2): e0246842 PMID33626073show ga Face masks are an important tool for preventing the spread of COVID-19. However, it is unclear how different types of masks affect speech recognition in different levels of background noise. To address this, we investigated the effects of four masks (a surgical mask, N95 respirator, and two cloth masks) on recognition of spoken sentences in multi-talker babble. In low levels of background noise, masks had little to no effect, with no more than a 5.5% decrease in mean accuracy compared to a no-mask condition. In high levels of noise, mean accuracy was 2.8-18.2% lower than the no-mask condition, but the surgical mask continued to show no significant difference. The results demonstrate that different types of masks generally yield similar accuracy in low levels of background noise, but differences between masks become more apparent in high levels of noise. |*Masks/adverse effects[MESH] |Adult[MESH] |Auditory Perception/*physiology[MESH] |COVID-19/prevention & control/psychology/transmission[MESH] |Female[MESH] |Humans[MESH] |Language[MESH] |Male[MESH] |N95 Respirators/adverse effects[MESH] |Noise[MESH] |SARS-CoV-2/isolation & purification[MESH] |Speech Perception/*physiology[MESH]Effects of face masks on speech recognition in multi-talker babble noi(epmc).pdf DeepDyve Pubget Overpricing