The effects of face mask on speech production and its implication for forensic speaker identification-A cross-linguistic study.

This study aims to understand the effects of face mask on speech production between Mandarin Chinese and English, and on the automatic classification of mask/no mask speech and individual speakers. A cross-linguistic study on mask speech between Mandarin Chinese and English was then conducted. Continuous speech of the phonetically balanced texts in both Chinese and English versions were recorded from thirty native speakers of Mandarin Chinese (i.e., 15 males and 15 females) with and without wearing a surgical mask. The results of acoustic analyses showed that mask speech exhibited higher F0, intensity, HNR, and lower jitter and shimmer than no mask speech for Mandarin Chinese, whereas higher HNR and lower jitter and shimmer were observed for English mask speech. The results of classification analyses showed that, based on the four supervised learning algorithms (i.e., Linear Discriminant Analysis, Naïve Bayes Classifier, Random Forest, and Support Vector Machine), undesirable performances (i.e., lower than 50%) in classifying the speech with and without a face mask, and highly-variable accuracies (i.e., ranging from 40% to 89.2%) in identifying individual speakers were achieved. These findings imply that the speakers tend to conduct acoustic adjustments to improve their speech intelligibility when wearing surgical mask. However, a cross-linguistic difference in speech strategies to compensate for intelligibility was observed that Mandarin speech was produced with higher F0, intensity, and HNR, while English was produced with higher HNR. Besides, the highly-variable accuracies of speaker identification might suggest that surgical mask would impact the general performance of the accuracy of automatic speaker recognition. In general, therefore, it seems wearing a surgical mask would impact both acoustic-phonetic and automatic speaker recognition approaches to some extent, thus suggesting particular cautions in the real-case practice of forensic speaker identification.

Reliability of Scoring Telehealth Speech Sound Assessments Administered in Real-World Scenarios.

PURPOSE: COVID-19 caused a worldwide conversion from in-person therapy to telehealth; however, limited evidence to support the efficacy of remotely delivering standardized tests puts the future of widespread telehealth use at risk. The aim of this study is to investigate the reliability of scoring a speech sound assessment administered in real-world scenarios including two examples of telehealth technology. METHOD: A total of thirty-nine 3- to 8-year-olds were administered the Goldman-Fristoe Test of Articulation-Third Edition. Licensed speech-language pathologists (SLPs) concurrently scored children's responses in person and in two telehealth conditions considered typical and enhanced. Mean standard scores and interrater reliability results were compared among the three conditions. Descriptive statistics were used to summarize the frequency of technology and behavior disruptions during administration and the results of an SLP telehealth perception survey. RESULTS: All scoring conditions were found to be highly correlated, with mean differences revealing no systematic differences of one condition over- or underestimating another. Although response agreement was high (85%-87%), final sounds in words or sounds that are difficult to observe tended to attenuate reliability. Neither child nor technology disruptions affected SLPs' ability to score responses. Despite no significant differences between conditions on scoring reliability, SLP participants reported they continued to prefer in-person over a telehealth speech sound assessment. CONCLUSIONS: This study supports the provision of a pediatric speech sound assessment using consumer-grade equipment, as in-person, typical telehealth, and enhanced telehealth scoring conditions produced similar results. However, SLP participants' skeptical attitudes toward remote delivery of standardized tests reveal an ongoing barrier to widespread telehealth use. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.19593367.

Comparing acoustic analyses of speech data collected remotely.

Face-to-face speech data collection has been next to impossible globally as a result of the COVID-19 restrictions. To address this problem, simultaneous recordings of three repetitions of the cardinal vowels were made using a Zoom H6 Handy Recorder with an external microphone (henceforth, H6) and compared with two alternatives accessible to potential participants at home: the Zoom meeting application (henceforth, Zoom) and two lossless mobile phone applications (Awesome Voice Recorder, and Recorder; henceforth, Phone). F0 was tracked accurately by all of the devices; however, for formant analysis (F1, F2, F3), Phone performed better than Zoom, i.e., more similarly to H6, although the data extraction method (VoiceSauce, Praat) also resulted in differences. In addition, Zoom recordings exhibited unexpected drops in intensity. The results suggest that lossless format phone recordings present a viable option for at least some phonetic studies.

How the language we speak determines the transmission of COVID-19.

BACKGROUND: Little body of research has focused on the epidemic transmissibility and language interface. AIMS: In this paper, we aim to investigate whether (i) the feature of aspiration found in the phonological inventory of several languages and (ii) the frequency of occurrence of stop consonants are associated with the transmission of COVID-19 among humans. METHODS: The study's protocol was based on a corpus of countries infected by COVID-19 and of which the linguistic repertoire includes a widely spoken language in individuals' everyday communication. We tested whether languages with and without aspiration differ in terms of COVID-19 reproduction number, and whether the frequency of occurrence of stop consonants in several languages correlates with the virus reproduction number. RESULTS: The results demonstrated no significant effect of aspiration on the transmission of the virus, while a positive correlation between the frequency of occurrence and transmissibility was observed only for the consonant /p/; this might suggest that languages that use /p/ more frequently might spread the virus more easily. CONCLUSIONS: The findings of this study can offer a tentative picture of how speaking specific sounds can be associated with COVID-19 transmissibility.

Speech can produce jet-like transport relevant to asymptomatic spreading of virus.

Many scientific reports document that asymptomatic and presymptomatic individuals contribute to the spread of COVID-19, probably during conversations in social interactions. Droplet emission occurs during speech, yet few studies document the flow to provide the transport mechanism. This lack of understanding prevents informed public health guidance for risk reduction and mitigation strategies, e.g., the "6-foot rule." Here we analyze flows during breathing and speaking, including phonetic features, using orders-of-magnitude estimates, numerical simulations, and laboratory experiments. We document the spatiotemporal structure of the expelled airflow. Phonetic characteristics of plosive sounds like "P" lead to enhanced directed transport, including jet-like flows that entrain the surrounding air. We highlight three distinct temporal scaling laws for the transport distance of exhaled material including 1) transport over a short distance (<0.5 m) in a fraction of a second, with large angular variations due to the complexity of speech; 2) a longer distance, ∼1 m, where directed transport is driven by individual vortical puffs corresponding to plosive sounds; and 3) a distance out to about 2 m, or even farther, where sequential plosives in a sentence, corresponding effectively to a train of puffs, create conical, jet-like flows. The latter dictates the long-time transport in a conversation. We believe that this work will inform thinking about the role of ventilation, aerosol transport in disease transmission for humans and other animals, and yield a better understanding of linguistic aerodynamics, i.e., aerophonetics.