الفهرس 
Methodology and Test DevelopmentOnly 14 pages are availabe for public view
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Abstract
Introduction: QuickSIN test is one of adaptive speech in noise tests. It has popularity for evaluating speech recognition in noise. Its goal is to provide a fast means of quantifying the real-word SNR loss that is not well inferred from the audiogram. This work aimed to: Development, and standardization of Arabic version of QuickSIN test sentences lists that measures the signal-to-noise ratio. Subjects and method: This study included 50 normal hearing subjects between the ages of 18-40 years. Materials: Sentences have words are typically not highly predictable from the surrounding context. These sentences were recorded by female talker, were presented in four-talker babble in three experiments. Results: In the first two experiments, the level of a female talker relative to that of four-talker babble was adjusted sentence by sentence to produce 50% correct scores for normal-hearing subjects. In experiment III, those sentences-in-babble that produced either lack of equivalence or high across-subject variability in scores were discarded. This experiments produced 10 equivalent lists, each list consists of six sentences, with one sentence at each adjusted signal-to-noise ratio of 25, 20, 15, 10, 5, and 0 dB. The final lists comprise the QuickSIN test that measures the SNR a listener requires to understand 50% of key words in sentences in a background of babble. Conclusion: A single QuickSIN list takes approximately one minute to administer and provides an estimate of SNR loss. The statistical reliability and efficiency of the test suit it to practical applications.