Abstract
Objective: 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. Design: 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. Study sample: Ten normal-hearing and eleven hearing-impaired subjects accomplished the ANL test. Results: 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. Conclusions: 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.
Acknowledgements
We would like to thank the Arbeitsgruppe Innovative Projekte (AGIP) at the Lower Saxony Department of Science and Culture, Hanover, Germany; the European Regional Development Fund (ERDF); KIND Hörgeräte, Großburgwedel, Germany; and HörTech, Center of Competence, Oldenburg, Germany, for their support. Technical assistance from Jörg Bitzer and Uwe Simmer during implementation of the noise reduction algorithms is gratefully acknowledged. Parts of this article were presented at the International Hearing Aid Research Conference (IHCON), August 13–17, 2008, Lake Tahoe, California, USA.
Declaration of interest: The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.