Spoken Word Recognition Errors in Speech Audiometry: A Measure of Hearing Performance?
Identifieur interne : 000541 ( Main/Exploration ); précédent : 000540; suivant : 000542Spoken Word Recognition Errors in Speech Audiometry: A Measure of Hearing Performance?
Auteurs : Martine Coene [Pays-Bas, Belgique] ; Anneke Van Der Lee [Pays-Bas] ; Paul J. Govaerts [Pays-Bas, Belgique]Source :
- BioMed Research International [ 2314-6133 ] ; 2015.
Abstract
This report provides a detailed analysis of incorrect responses from an open-set spoken word-repetition task which is part of a Dutch speech audiometric test battery. Single-consonant confusions were analyzed from 230 normal hearing participants in terms of the probability of choice of a particular response on the basis of acoustic-phonetic, lexical, and frequency variables. The results indicate that consonant confusions are better predicted by lexical knowledge than by acoustic properties of the stimulus word. A detailed analysis of the transmission of phonetic features indicates that “voicing” is best preserved whereas “manner of articulation” yields most perception errors. As consonant confusion matrices are often used to determine the degree and type of a patient's hearing impairment, to predict a patient's gain in hearing performance with hearing devices and to optimize the device settings in view of maximum output, the observed findings are highly relevant for the audiological practice. Based on our findings, speech audiometric outcomes provide a combined auditory-linguistic profile of the patient. The use of confusion matrices might therefore not be the method best suited to measure hearing performance. Ideally, they should be complemented by other listening task types that are known to have less linguistic bias, such as phonemic discrimination.
Url:
DOI: 10.1155/2015/932519
PubMed: 26557717
PubMed Central: 4628700
Affiliations:
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Govaerts</name><affiliation wicri:level="1"><nlm:aff id="I1">Department of Language, Literature and Communication, Language and Hearing Center Amsterdam, VU Free University Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Language, Literature and Communication, Language and Hearing Center Amsterdam, VU Free University Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam</wicri:regionArea><wicri:noRegion>1081 HV Amsterdam</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="I2">The Eargroup, Herentalsebaan 75, 2100 Antwerpen, Belgium</nlm:aff><country xml:lang="fr">Belgique</country><wicri:regionArea>The Eargroup, Herentalsebaan 75, 2100 Antwerpen</wicri:regionArea><wicri:noRegion>2100 Antwerpen</wicri:noRegion></affiliation></author></analytic><series><title level="j">BioMed Research International</title><idno type="ISSN">2314-6133</idno><idno type="eISSN">2314-6141</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>This report provides a detailed analysis of incorrect responses from an open-set spoken word-repetition task which is part of a Dutch speech audiometric test battery. Single-consonant confusions were analyzed from 230 normal hearing participants in terms of the probability of choice of a particular response on the basis of acoustic-phonetic, lexical, and frequency variables. The results indicate that consonant confusions are better predicted by lexical knowledge than by acoustic properties of the stimulus word. A detailed analysis of the transmission of phonetic features indicates that “voicing” is best preserved whereas “manner of articulation” yields most perception errors. As consonant confusion matrices are often used to determine the degree and type of a patient's hearing impairment, to predict a patient's gain in hearing performance with hearing devices and to optimize the device settings in view of maximum output, the observed findings are highly relevant for the audiological practice. Based on our findings, speech audiometric outcomes provide a combined auditory-linguistic profile of the patient. The use of confusion matrices might therefore not be the method best suited to measure hearing performance. Ideally, they should be complemented by other listening task types that are known to have less linguistic bias, such as phonemic discrimination.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Fowler, C A" uniqKey="Fowler C">C. A. Fowler</name></author><author><name sortKey="Magnuson, J S" uniqKey="Magnuson J">J. S. Magnuson</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Denes, P B" uniqKey="Denes P">P. B. Denes</name></author><author><name sortKey="Pinson, E N" uniqKey="Pinson E">E. N. Pinson</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Rietveld, A C M" uniqKey="Rietveld A">A. C. M. Rietveld</name></author><author><name sortKey="Van Heuven, V J" uniqKey="Van Heuven V">V. 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Key</name></author><author><name sortKey="Mash, D" uniqKey="Mash D">D. Mash</name></author><author><name sortKey="Watsky, S" uniqKey="Watsky S">S. Watsky</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Diehl, R L" uniqKey="Diehl R">R. L. Diehl</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Belgique</li><li>Pays-Bas</li></country></list><tree><country name="Pays-Bas"><noRegion><name sortKey="Coene, Martine" sort="Coene, Martine" uniqKey="Coene M" first="Martine" last="Coene">Martine Coene</name></noRegion><name sortKey="Govaerts, Paul J" sort="Govaerts, Paul J" uniqKey="Govaerts P" first="Paul J." last="Govaerts">Paul J. Govaerts</name><name sortKey="Van Der Lee, Anneke" sort="Van Der Lee, Anneke" uniqKey="Van Der Lee A" first="Anneke" last="Van Der Lee">Anneke Van Der Lee</name></country><country name="Belgique"><noRegion><name sortKey="Coene, Martine" sort="Coene, Martine" uniqKey="Coene M" first="Martine" last="Coene">Martine Coene</name></noRegion><name sortKey="Govaerts, Paul J" sort="Govaerts, Paul J" uniqKey="Govaerts P" first="Paul J." last="Govaerts">Paul J. Govaerts</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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