Revisiting the relationship between implicit racial bias and audiovisual benefit for nonnative-accented speech

Health and Racial Disparities: Importance of Accurate and Reliable Ethnicity, Race, and Language Data

Introduction: Accurate demographic data are essential to identify and monitor differences, trends, and changes in diabetes-related conditions between Hispanics and non-Hispanic Blacks (NHBs). It also provides pertinent information to reduce health and racial disparities among English- and Spanish-speakers. Method: The study's design was a quantitative cross-sectional one. Electronic medical record (EMR) and survey data of the same sample were compared. Descriptive statistics were computed for ethnicity, preferred language, and physiological data. Frequency and percentages were calculated for each continuous and categorical variable. Chi-square was calculated to compare physiological variables by ethnicity and language. Results: During a 5-month period (September 2021-February 2022), 106 individuals from New York City with diabetes took part in this study. Among Hispanics, most from the EMR identified as Other (82.4%), whereas from the survey, most identified as White (57.1%). More Hispanics (19%) and Spanish speakers (18%) had high triglyceride levels compared to NHBs (2%) and English speakers (3%). Conclusion: Ensuring that demographic data are accurate can better inform programs. Because Hispanics and Spanish speakers had the highest triglyceride levels, diabetes programs need to include information on cardiovascular disease and must be available in Spanish, to further reduce risk factors, improve health outcomes, and promote health equity among these populations.

Visual information affects adaptation to novel talkers: Ethnicity-specific and ethnicity-independent learning of L2-accented speech

Prior work demonstrates that exposure to speakers of the same accent facilitates comprehension of a novel talker with the same accent (accent-specific learning). Moreover, exposure to speakers of multiple different accents enhances understanding of a talker with a novel accent (accent-independent learning). Although bottom-up acoustic information about accent constrains adaptation to novel talkers, the effect of top-down social information remains unclear. The current study examined effects of apparent ethnicity on adaptation to novel L2-accented ("non-native") talkers while keeping bottom-up information constant. Native English listeners transcribed sentences in noise for three Mandarin-accented English speakers and then a fourth (novel) Mandarin-accented English speaker. Transcription accuracy of the novel talker improves when: all speakers are presented with east Asian faces (ethnicity-specific learning); the exposure speakers are paired with different, non-east Asian ethnicities and the novel talker has an east Asian face (ethnicity-independent learning). However, accuracy does not improve when all speakers have White faces or when the exposure speakers have White faces and the test talker has an east Asian face. This study demonstrates that apparent ethnicity affects adaptation to novel L2-accented talkers, thus underscoring the importance of social expectations in perceptual learning and cross-talker generalization.

Audiovisual speech perception: Moving beyond McGurk

Although it is clear that sighted listeners use both auditory and visual cues during speech perception, the manner in which multisensory information is combined is a matter of debate. One approach to measuring multisensory integration is to use variants of the McGurk illusion, in which discrepant auditory and visual cues produce auditory percepts that differ from those based on unimodal input. Not all listeners show the same degree of susceptibility to the McGurk illusion, and these individual differences are frequently used as a measure of audiovisual integration ability. However, despite their popularity, we join the voices of others in the field to argue that McGurk tasks are ill-suited for studying real-life multisensory speech perception: McGurk stimuli are often based on isolated syllables (which are rare in conversations) and necessarily rely on audiovisual incongruence that does not occur naturally. Furthermore, recent data show that susceptibility to McGurk tasks does not correlate with performance during natural audiovisual speech perception. Although the McGurk effect is a fascinating illusion, truly understanding the combined use of auditory and visual information during speech perception requires tasks that more closely resemble everyday communication: namely, words, sentences, and narratives with congruent auditory and visual speech cues.

FORUM: Remote testing for psychological and physiological acoustics

Acoustics research involving human participants typically takes place in specialized laboratory settings. Listening studies, for example, may present controlled sounds using calibrated transducers in sound-attenuating or anechoic chambers. In contrast, remote testing takes place outside of the laboratory in everyday settings (e.g., participants' homes). Remote testing could provide greater access to participants, larger sample sizes, and opportunities to characterize performance in typical listening environments at the cost of reduced control of environmental conditions, less precise calibration, and inconsistency in attentional state and/or response behaviors from relatively smaller sample sizes and unintuitive experimental tasks. The Acoustical Society of America Technical Committee on Psychological and Physiological Acoustics launched the Task Force on Remote Testing (https://tcppasa.org/remotetesting/) in May 2020 with goals of surveying approaches and platforms available to support remote testing and identifying challenges and considerations for prospective investigators. The results of this task force survey were made available online in the form of a set of Wiki pages and summarized in this report. This report outlines the state-of-the-art of remote testing in auditory-related research as of August 2021, which is based on the Wiki and a literature search of papers published in this area since 2020, and provides three case studies to demonstrate feasibility during practice.