Modernising speech audiometry : using a smartphone application to test word recognition

Show simple item record Van Zyl, Marianne Swanepoel, De Wet Myburgh, Hermanus Carel 2018-05-17T06:19:50Z 2018
dc.description.abstract OBJECTIVE : This study aimed to develop and assess a method to measure word recognition abilities using a smartphone application (App) connected to an audiometer. DESIGN : Word lists were recorded in South African English and Afrikaans. Analyses were conducted to determine the effect of hardware used for presentation (computer, compact-disc player, or smartphone) on the frequency content of recordings. An Android App was developed to enable presentation of recorded materials via a smartphone connected to the auxiliary input of the audiometer. Experiments were performed to test feasibility and validity of the developed App and recordings. STUDY SAMPLE : Participants were 100 young adults (18–30 years) with pure tone thresholds ≤15 dB across the frequency spectrum (250–8000 Hz). RESULTS : Hardware used for presentation had no significant effect on the frequency content of recordings. Listening experiments indicated good inter-list reliability for recordings in both languages, with no significant differences between scores on different lists at each of the tested intensities. Performance-intensity functions had slopes of 4.05%/dB for English and 4.75%/dB for Afrikaans lists at the 50% point. CONCLUSIONS : The developed smartphone App constitutes a feasible and valid method for measuring word recognition scores, and can support standardisation and accessibility of recorded speech audiometry. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.department Speech-Language Pathology and Audiology en_ZA
dc.description.embargo 2019-04-20
dc.description.librarian hj2018 en_ZA
dc.description.uri en_ZA
dc.identifier.citation Marianne van Zyl, De Wet Swanepoel & Hermanus C. Myburgh (2018) Modernising speech audiometry: using a smartphone application to test word recognition, International Journal of Audiology, 57:8, 561-569, DOI: 10.1080/14992027.2018.1463465. en_ZA
dc.identifier.issn 1499-2027 (print)
dc.identifier.issn 1708-8186 (online)
dc.identifier.other 10.1080/14992027.2018.1463465
dc.language.iso en en_ZA
dc.publisher Taylor and Francis en_ZA
dc.rights © 2018 British Society of Audiology, International Society of Audiology, and Nordic Audiological Society. This is an electronic version of an article published in International Journal of Audiology, vol. 57, no. 8, pp. 561-569, 2018. doi : 10.1080/14992027.2018.1463465. International Journal of Audiology is available online at : en_ZA
dc.subject Speech perception en_ZA
dc.subject Tele-audiology en_ZA
dc.subject Speech audiometry en_ZA
dc.subject Word recognition en_ZA
dc.subject Mobile health en_ZA
dc.title Modernising speech audiometry : using a smartphone application to test word recognition en_ZA
dc.type Postprint Article en_ZA

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