Masked-Speech Recognition for Linguistically Diverse Populations: A Focused Review and Suggestions for the Future

Author:

Cowan Tiana1ORCID,Paroby Caroline2,Leibold Lori J.1ORCID,Buss Emily3ORCID,Rodriguez Barbara4,Calandruccio Lauren2ORCID

Affiliation:

1. Center for Hearing Research, Boys Town National Research Hospital, Omaha, NE

2. Department of Psychological Sciences, Case Western Reserve University, Cleveland, OH

3. Department of Otolaryngology/Head and Neck Surgery, The University of North Carolina at Chapel Hill

4. Department of Speech and Hearing Sciences, The University of New Mexico, Albuquerque

Abstract

Purpose: Twenty years ago, von Hapsburg and Peña (2002) wrote a tutorial that reviewed the literature on speech audiometry and bilingualism and outlined valuable recommendations to increase the rigor of the evidence base. This review article returns to that seminal tutorial to reflect on how that advice was applied over the last 20 years and to provide updated recommendations for future inquiry. Method: We conducted a focused review of the literature on masked-speech recognition for bilingual children and adults. First, we evaluated how studies published since 2002 described bilingual participants. Second, we reviewed the literature on native language masked-speech recognition. Third, we discussed theoretically motivated experimental work. Fourth, we outlined how recent research in bilingual speech recognition can be used to improve clinical practice. Results: Research conducted since 2002 commonly describes bilingual samples in terms of their language status, competency, and history. Bilingualism was not consistently associated with poor masked-speech recognition. For example, bilinguals who were exposed to English prior to age 7 years and who were dominant in English performed comparably to monolinguals for masked-sentence recognition tasks. To the best of our knowledge, there are no data to document the masked-speech recognition ability of these bilinguals in their other language compared to a second monolingual group, which is an important next step. Nonetheless, individual factors that commonly vary within bilingual populations were associated with masked-speech recognition and included language dominance, competency, and age of acquisition. We identified methodological issues in sampling strategies that could, in part, be responsible for inconsistent findings between studies. For instance, disparities in socioeconomic status (SES) between recruited bilingual and monolingual groups could cause confounding bias within the research design. Conclusions: Dimensions of the bilingual linguistic profile should be considered in clinical practice to inform counseling and (re)habilitation strategies since susceptibility to masking is elevated in at least one language for most bilinguals. Future research should continue to report language status, competency, and history but should also report language stability and demand for use data. In addition, potential confounds (e.g., SES, educational attainment) when making group comparisons between monolinguals and bilinguals must be considered.

Publisher

American Speech Language Hearing Association

Subject

Speech and Hearing,Linguistics and Language,Language and Linguistics

Reference159 articles.

1. American National Standards Institute. (1997). ANSI S3.5-1997 American National Standard Methods for Calculation of the Speech Intelligibility Index.

2. American Speech-Language-Hearing Association. (2016). Code of ethics [Ethics] . https://inte.asha.org/Code-of-Ethics/

3. American Speech-Language-Hearing Association. (2020). Annual demographic & employment data: 2020 member & affiliate profile. https://www.asha.org/siteassets/surveys/2020-member-and-affiliate-profile.pdf

4. Hearing Aid Prevalence and Factors Related to Use Among Older Adults From the Hispanic Community Health Study/Study of Latinos

5. Scores on the MacArthur Communicative Development Inventory of children from lowand middle-income families

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