Pavlovic C V
J Acoust Soc Am. 1984 Apr;75(4):1253-8. doi: 10.1121/1.390731.
Two experiments were performed to explore the feasibility of deriving an articulation index (AI) based scheme for quantifying residual auditory function in listeners with sensorineural hearing impairment. In the first experiment the AI procedure was applied to audiograms of normal and sensorineural hearing-impaired individuals in order to predict speech discrimination under various conditions. Good predictions were found for the normal and the less impaired subjects, but not for those with greater impairments. These subjects exhibited a disproportionate loss in speech discrimination compared to that predicted on the basis of the AI procedure. In the second experiment it was investigated whether the AI predictions for presbycusic individuals could be improved by making use of the proficiency factor that is not a function of frequency. The results indicate that the deficit in suprathreshold speech processing is frequency-specific and that, therefore, the proficiency factor is not independent of frequency. It assumes the value of 1 at those frequencies where hearing sensitivity is normal and is substantially reduced for frequencies where hearing threshold is elevated.
进行了两项实验，以探索基于清晰度指数（AI）的方案在量化感音神经性听力损失患者残余听觉功能方面的可行性。在第一个实验中，将AI程序应用于正常人和感音神经性听力受损个体的听力图，以预测各种条件下的言语辨别力。对于正常人和受损较轻的受试者，预测效果良好，但对于受损较重的受试者则不然。与基于AI程序预测的结果相比，这些受试者在言语辨别力方面表现出不成比例的损失。在第二个实验中，研究了利用与频率无关的熟练程度因子是否可以改善对老年聋患者的AI预测。结果表明，阈上言语处理缺陷具有频率特异性，因此，熟练程度因子并非与频率无关。在听力敏感度正常的频率处，它的值为1，而在听力阈值升高的频率处，它的值会大幅降低。
