Institute of Hearing Technology and Audiology, Jade University of Applied Sciences, Wilhelmshaven/Oldenburg/Elsfleth, Germany.
Int J Audiol. 2012 Apr;51(4):299-308. doi: 10.3109/14992027.2011.645075. Epub 2012 Feb 9.
To measure the acceptable noise level (ANL) with and without noise reduction algorithms (NRAs), and to predict ΔANL, i.e. the difference in acceptable noise level with and without NRAs.
The ANL test was applied to three NRAs. Furthermore, the measured ΔANL was predicted using several methods based on either the calculation of the signal-to-noise ratio or correlation methods of the processed signals with an unprocessed reference signal.
Ten normal-hearing and eleven hearing-impaired subjects accomplished the ANL test.
In general, the ANL test could determine an increased acceptance of noise with some NRAs. However, great inter-individual differences also resulted that were attributed to audible distortions when an NRA was used. Prediction of the mean measured DANL was possible, but individual prediction of DANL failed due to inter-individual differences. Mean DANL was predicted more accurately for hearing-impaired subjects when individual hearing loss was taken into account.
The ANL test is a suitable tool for measuring the advantage of one NRA. A prediction of the measured individual ΔANL failed. However, mean DANL could be predicted with some methods. Furthermore, the individual hearing loss should be taken into account for a more accurate prediction for hearing-impaired subjects.
测量使用和不使用降噪算法（NRAs）时的可接受噪声水平（ANL），并预测 ΔANL，即使用和不使用 NRAs 时可接受噪声水平的差异。
将 ANL 测试应用于三种 NRAs。此外，使用几种基于处理信号的信噪比计算或与未处理参考信号的相关方法的方法来预测测量的 ΔANL。
十名正常听力和十一名听力受损的受试者完成了 ANL 测试。
一般来说，ANL 测试可以确定某些 NRAs 增加了对噪声的接受度。然而，由于使用 NRA 时会出现可听失真，因此也会产生很大的个体差异。可以预测平均测量的 DANL，但由于个体差异，无法对 DANL 进行个体预测。当考虑到个体听力损失时，对听力受损受试者的平均 DANL 预测更准确。
ANL 测试是测量一种 NRA 优势的合适工具。对测量的个体 ΔANL 的预测失败了。然而，使用某些方法可以预测平均 DANL。此外，对于听力受损的受试者，应考虑个体听力损失以进行更准确的预测。
