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Trends in Amplification, Vol. 10, No. 2, 83-93 (2006)
DOI: 10.1177/1084713806289553

The Effects of Digital Noise Reduction on the Acceptance of Background Noise

H. Gustav Mueller, PhD

Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, 1215 21st Avenue South, Nashville, TN 37232-8242;GoVandy{at}GusMueller.net

Jennifer Weber, AuD

Department of Communication Disorders, University of Northern Colorado, Greeley, Colorado

Benjamin W.Y. Hornsby, PhD

Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, Tennessee

Modern hearing aids commonly employ digital noise reduction (DNR) algorithms. The potential benefit of these algorithms is to provide improved speech understanding in noise or, at the least, to provide relaxed listening or increased ease of listening. In this study, 22 adults were fitted with 16-channel wide-dynamic-range compression hearing aids containing DNR processing. The DNR includes both modulation-based and Wiener-filter-type algorithms working simultaneously. Both speech intelligibility and acceptable noise level (ANL) were assessed using the Hearing in Noise Test (HINT) with DNR on and DNR off. The ANL was also assessed without hearing aids. The results showed a significant mean improvement for the ANL (4.2 dB) for the DNR-on condition when compared to DNR-off condition. Moreover, there was a significant correlation between the magnitude of ANL improvement (relative to DNR on) and the DNR-off ANL. There was no significant mean improvement for the HINT for the DNR on condition, and on an individual basis, the HINT score did not significantly correlate with either aided ANL (DNR on or DNR off). These findings suggest that at least within the constraints of the DNR algorithms and test conditions employed in this study, DNR can significantly improve the clinically measured ANL, which may result in improved ease of listening for speech-in-noise situations.

Key Words: hearing aids • digital noise reduction (DNR) • background noise • acceptable noise level (ANL)

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