Literature DB >> 23334355

The effect of hearing aid signal-processing schemes on acceptable noise levels: perception and prediction.

Yu-Hsiang Wu1, Elizabeth Stangl.   

Abstract

OBJECTIVES: The acceptable noise level (ANL) test determines the maximum noise level that an individual is willing to accept while listening to speech. The first objective of the present study was to systematically investigate the effect of wide dynamic range compression processing (WDRC), and its combined effect with digital noise reduction (DNR) and directional processing (DIR), on ANL. Because ANL represents the lowest signal-to-noise ratio (SNR) that a listener is willing to accept, the second objective was to examine whether the hearing aid output SNR could predict aided ANL across different combinations of hearing aid signal-processing schemes.
DESIGN: Twenty-five adults with sensorineural hearing loss participated in the study. ANL was measured monaurally in two unaided and seven aided conditions, in which the status of the hearing aid processing schemes (enabled or disabled) and the location of noise (front or rear) were manipulated. The hearing aid output SNR was measured for each listener in each condition using a phase-inversion technique. The aided ANL was predicted by unaided ANL and hearing aid output SNR, under the assumption that the lowest acceptable SNR at the listener's eardrum is a constant across different ANL test conditions.
RESULTS: Study results revealed that, on average, WDRC increased (worsened) ANL by 1.5 dB, while DNR and DIR decreased (improved) ANL by 1.1 and 2.8 dB, respectively. Because the effects of WDRC and DNR on ANL were opposite in direction but similar in magnitude, the ANL of linear/DNR-off was not significantly different from that of WDRC/DNR-on. The results further indicated that the pattern of ANL change across different aided conditions was consistent with the pattern of hearing aid output SNR change created by processing schemes.
CONCLUSIONS: Compared with linear processing, WDRC creates a noisier sound image and makes listeners less willing to accept noise. However, this negative effect on noise acceptance can be offset by DNR, regardless of microphone mode. The hearing aid output SNR derived using the phase-inversion technique can predict aided ANL across different combinations of signal-processing schemes. These results suggest a close relationship between aided ANL, signal-processing scheme, and hearing aid output SNR.

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Mesh:

Year:  2013        PMID: 23334355     DOI: 10.1097/AUD.0b013e31827417d4

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  13 in total

1.  Quantifying the Range of Signal Modification in Clinically Fit Hearing Aids.

Authors:  Varsha Rallapalli; Melinda Anderson; James Kates; Lauren Balmert; Lynn Sirow; Kathryn Arehart; Pamela Souza
Journal:  Ear Hear       Date:  2020 Mar/Apr       Impact factor: 3.570

2.  Output signal-to-noise ratio and speech perception in noise: effects of algorithm.

Authors:  Christi W Miller; Ruth A Bentler; Yu-Hsiang Wu; James Lewis; Kelly Tremblay
Journal:  Int J Audiol       Date:  2017-03-30       Impact factor: 2.117

3.  Effect of Noise Reduction on Cortical Speech-in-Noise Processing and Its Variance due to Individual Noise Tolerance.

Authors:  Subong Kim; Yu-Hsiang Wu; Hari M Bharadwaj; Inyong Choi
Journal:  Ear Hear       Date:  2022 May/Jun       Impact factor: 3.562

4.  Listening effort and perceived clarity for normal-hearing children with the use of digital noise reduction.

Authors:  Samantha Gustafson; Ryan McCreery; Brenda Hoover; Judy G Kopun; Pat Stelmachowicz
Journal:  Ear Hear       Date:  2014 Mar-Apr       Impact factor: 3.570

5.  Construct Validity of the Ecological Momentary Assessment in Audiology Research.

Authors:  Yu-Hsiang Wu; Elizabeth Stangl; Xuyang Zhang; Ruth A Bentler
Journal:  J Am Acad Audiol       Date:  2015 Nov-Dec       Impact factor: 1.664

6.  Investigating Differences in Preferred Noise Reduction Strength Among Hearing Aid Users.

Authors:  Tobias Neher; Kirsten C Wagener
Journal:  Trends Hear       Date:  2016-09-07       Impact factor: 3.293

7.  Word Recognition and Learning: Effects of Hearing Loss and Amplification Feature.

Authors:  Andrea L Pittman; Elizabeth C Stewart; Amanda P Willman; Ian S Odgear
Journal:  Trends Hear       Date:  2017 Jan-Dec       Impact factor: 3.293

8.  Effect of systematic desensitization training on acceptable noise levels in adults with normal hearing sensitivity.

Authors:  Arivudainambi Pitchaimuthu; Anshul Arora; Jayashree S Bhat; Vibha Kanagokar
Journal:  Noise Health       Date:  2018 May-Jun       Impact factor: 0.867

9.  Effect of Compression, Digital Noise Reduction and Directionality on Envelope Difference Index, Log-Likelihood Ratio and Perceived Quality.

Authors:  Chinnaraj Geetha; Puttabasappa Manjula
Journal:  Audiol Res       Date:  2014-11-14

10.  The Relationship between Personality Type and Acceptable Noise Levels: A Pilot Study.

Authors:  Cliff Franklin; Laura V Johnson; Letitia White; Clay Franklin; Laura Smith-Olinde
Journal:  ISRN Otolaryngol       Date:  2013-11-14
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