Toward Evidence-Based Practice in the Speech Audiometric Assessment of Linguistic Minorities

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2009
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Swarthmore College. Dept. of Linguistics
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Thesis (B.A.)
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en_US
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Full copyright to this work is retained by the student author. It may only be used for non-commercial, research, and educational purposes. All other uses are restricted.
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Abstract
One of the audiologist’s main objectives is to maximize a person’s hearing such that he or she can understand speech and maintain communication with others. In the audiological setting, the ability to understand speech is thus most frequently conceived of in relation to one’s capacity to hear. While speech understanding may in essence begin with one’s ears, the journey beyond perception to comprehension is ultimately dependent on one’s knowledge of a language, namely that of the speaker. The factor of language often goes unrealized, however, as the majority of audiologists and their patients are speakers of the same language, English. Moreover, most speech audiometry exams are administered with English test materials that have been standardized on monolingual, English-speaking populations. This predominance of English commonly leaves linguistic minorities underserved. Even though these individuals are liable to have a limited knowledge of English, it is common for the audiologist to nonetheless test their ability to understand speech using English. The question that arises here is whether speech audiometry remains a measure of intelligibility vs. audibility, or whether there are additional language-related influences at play. We argue that linguistic variables are indeed active, can invalidate testing and affect the overall quality of audiological service. The problems borne from language discrepancies are defined in terms of their potential prevalence on populational level. Following that is a review of recent research on speech perception in bilingual2, non-native3 English speakers to show how linguistic variables, on multiple levels of processing, can influence a bilingual listener’s English word recognition. The implications the research holds for improving speech audiometry in clinical practice is lastly discussed.
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