Development and Standardization of Arabic Version of Bamford- Kowal- Bench Speech in Noise Test for children | ||||
| Egyptian Journal of Ear, Nose, Throat and Allied Sciences | ||||
| Article 26, Volume 22, Issue 22, January 2021, Page 1-7 PDF (742.47 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ejentas.2020.43910.1260 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Ghada Amer1; Enaas Kolkaila2; Trandil Mahalawy2; Amani EI-Gharib  3
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| 1Audiovestibular medicine | ||||
| 2Audiology | ||||
| 3Audio vestibular medicine | ||||
| Abstract | ||||
| Background: BKB SIN test is one of adaptive speech in noise tests. Its goal is to provide a mean of quantifying the real-word signal to noise ratio (SNR) loss that is not well inferred from the audiogram. Aim: Develop and standardize the Arabic version of BKB SIN test sentences lists that measures the signal-to-noise ratio. Patients and Methods: This study included 54 normal hearing children. Their age ranged from 5-18 years. Material: Sentences have words that are at first grade reading level and familiar to children. These sentences were recorded by male talker and were presented in four-talker babble in four phases. Results: Phase I assess the equivalence of sentences and normalize signal to noise ratio 50%. In Phase II selection of sentences then construction of equivalent lists producing 18 equivalent lists, each list consists of eight sentences. The first sentence has four keywords, while the remaining sentences have three. Phase III determines the SNR starting level of lists. Phase IV provides age related norms. The final lists comprise the Arabic-BKB SIN test that measures the SNR a listener requires to understand 50% of keywords in sentences in a background of babble. Conclusion: The Arabic-BKB test is developed and standardized. The statistical reliability and efficiency of the test suit it to practical applications. | ||||
| Keywords | ||||
| Bamford- Kowal- Bench speech in noise test (BKB SIN); signal to noise ratio loss (SNR loss) and children | ||||
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