Literature DB >> 16959731

Digital noise reduction: an overview.

Ruth Bentler1, Li-Kuei Chiou.   

Abstract

Digital noise reduction schemes are being used in most hearing aids currently marketed. Unlike the earlier analog schemes, these manufacturer-specific algorithms are developed to acoustically analyze the incoming signal and alter the gain/output characteristics according to their predetermined rules. Although most are modulation-based schemes (ie, differentiating speech from noise based on temporal characteristics), spectral subtraction techniques are being applied as well. The purpose of this article is to overview these schemes in terms of their differences and similarities.

Mesh:

Year:  2006        PMID: 16959731      PMCID: PMC4111515          DOI: 10.1177/1084713806289514

Source DB:  PubMed          Journal:  Trends Amplif        ISSN: 1084-7138


  21 in total

1.  ICRA noises: artificial noise signals with speech-like spectral and temporal properties for hearing instrument assessment. International Collegium for Rehabilitative Audiology.

Authors:  W A Dreschler; H Verschuure; C Ludvigsen; S Westermann
Journal:  Audiology       Date:  2001 May-Jun

2.  Fitting hearing aids with the Articulation Index: impact on hearing aid effectiveness.

Authors:  P E Souza; B Yueh; M Sarubbi; C F Loovis
Journal:  J Rehabil Res Dev       Date:  2000 Jul-Aug

3.  Evaluation of the noise reduction system in a commercial digital hearing aid.

Authors:  José L Alcántara; Brian C J Moore; Volker Kühnel; Stefan Launer
Journal:  Int J Audiol       Date:  2003-01       Impact factor: 2.117

4.  Evaluation of two clinical versions of the articulation index.

Authors:  L E Humes; S Riker
Journal:  Ear Hear       Date:  1992-12       Impact factor: 3.570

Review 5.  Challenges and recent developments in hearing aids. Part I. Speech understanding in noise, microphone technologies and noise reduction algorithms.

Authors:  King Chung
Journal:  Trends Amplif       Date:  2004

6.  The effects of expansion on the objective and subjective performance of hearing instrument users.

Authors:  Patrick N Plyler; Ashley Blair Hill; Timothy D Trine
Journal:  J Am Acad Audiol       Date:  2005-02       Impact factor: 1.664

7.  Sound quality measures for speech in noise through a commercial hearing aid implementing digital noise reduction.

Authors:  Todd A Ricketts; Benjamin W Y Hornsby
Journal:  J Am Acad Audiol       Date:  2005-05       Impact factor: 1.664

8.  Hollowness perception with noise-reduction hearing aids.

Authors:  F K Kuk; A Plager; N M Pape
Journal:  J Am Acad Audiol       Date:  1992-01       Impact factor: 1.664

9.  Effects of an adaptive filter hearing aid on speech recognition in noise by hearing-impaired subjects.

Authors:  D J van Tasell; S Y Larsen; D A Fabry
Journal:  Ear Hear       Date:  1988-02       Impact factor: 3.570

10.  Longitudinal study of hearing aid effectiveness. I: Objective measures.

Authors:  R A Bentler; D P Niebuhr; J P Getta; C V Anderson
Journal:  J Speech Hear Res       Date:  1993-08
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  19 in total

1.  The effects of selective consonant amplification on sentence recognition in noise by hearing-impaired listeners.

Authors:  Rithika Saripella; Philipos C Loizou; Linda Thibodeau; Jennifer A Alford
Journal:  J Acoust Soc Am       Date:  2011-11       Impact factor: 1.840

2.  The effects of digital noise reduction on the acceptance of background noise.

Authors:  H Gustav Mueller; Jennifer Weber; Benjamin W Y Hornsby
Journal:  Trends Amplif       Date:  2006-06

3.  Gain-induced speech distortions and the absence of intelligibility benefit with existing noise-reduction algorithms.

Authors:  Gibak Kim; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2011-09       Impact factor: 1.840

4.  From the editor.

Authors:  Arlene C Neuman
Journal:  Trends Amplif       Date:  2007-03

5.  Recognition of speech in noise after application of time-frequency masks: dependence on frequency and threshold parameters.

Authors:  Donal G Sinex
Journal:  J Acoust Soc Am       Date:  2013-04       Impact factor: 1.840

6.  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

7.  Classification of Hearing Aids Into Feature Profiles Using Hierarchical Latent Class Analysis Applied to a Large Dataset of Hearing Aids.

Authors:  Simon Lansbergen; Wouter A Dreschler
Journal:  Ear Hear       Date:  2020 Nov/Dec       Impact factor: 3.570

8.  Amplification with digital noise reduction and the perception of annoying and aversive sounds.

Authors:  Catherine V Palmer; Ruth Bentler; H Gustav Mueller
Journal:  Trends Amplif       Date:  2006-06

Review 9.  Single and multiple microphone noise reduction strategies in cochlear implants.

Authors:  Kostas Kokkinakis; Behnam Azimi; Yi Hu; David R Friedland
Journal:  Trends Amplif       Date:  2012-08-23

10.  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

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