The Type of Noise Influences Quality Ratings for Noisy Speech in Hearing Aid Users
Purpose: The overall goal of the current study was to determine whether noise type plays a role in perceptual quality ratings. We compared quality ratings using various noise types and signal-to-noise ratio (SNR) ranges using hearing aid simulations to consider the effects of hearing aid processing...
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Published in | Journal of speech, language, and hearing research Vol. 63; no. 12; pp. 4300 - 4313 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Speech-Language-Hearing Association
01.12.2020
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Subjects | |
Online Access | Get full text |
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Summary: | Purpose: The overall goal of the current study was to determine whether noise type plays a role in perceptual quality ratings. We compared quality ratings using various noise types and signal-to-noise ratio (SNR) ranges using hearing aid simulations to consider the effects of hearing aid processing features. Method: Ten older adults with bilateral mild to moderately severe sensorineural hearing loss rated the sound quality of sentences processed through a hearing aid simulation and presented in the presence of five different noise types (six-talker babble, three-talker conversation, street traffic, kitchen, and fast-food restaurant) at four SNRs (3, 8, 12, and 20 dB). Results: Everyday noise types differentially affected sound quality ratings even when presented at the same SNR: Kitchen and three-talker noises were rated significantly higher than restaurant, traffic, and multitalker babble, which were not different from each other. The effects of noise type were most pronounced at poorer SNRs. Conclusions: The findings of this study showed that noise types differentially affected sound quality ratings. The differences we observed were consistent with the acoustic characteristics of the noise types. Noise types having lower envelope fluctuations yielded lower quality ratings than noise types characterized by sporadic high-intensity events at the same SNR. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Emily M. H. Lundberg and Song Hui Chon are both first authors on this article. Disclosure: James M. Kates and Kathryn H. Arehart have a research grant from GN Resound to University of Colorado for the development of binaural speech intelligibility metrics. Melinda C. Anderson has research funding from Advanced Bionics, LLC, for work unrelated to this project. All other authors have declared that no other competing interests existed at the time of publication. Editor: Yi Shen Editor-in-Chief: Frederick (Erick) Gallun |
ISSN: | 1092-4388 1558-9102 |
DOI: | 10.1044/2020_JSLHR-20-00156 |