Literature DB >> 8084201

Preferred hearing-aid frequency responses in simulated listening environments.

P G Stelmachowicz1, D E Lewis, E Carney.   

Abstract

This study was designed to determine if an adaptive strategy could be used to select frequency/gain characteristics that would be considered appropriate across a variety of listening environments. In Experiment I, the test-retest reliability of the paired comparison procedure used in Experiment II was assessed in quiet for nine subjects and in speech noise for six subjects. For both conditions, results revealed mean standard deviations of < 3 dB from 200 through 4000 Hz. In Experiment II, four subjects selected frequency/gain characteristics for five different listening environments (quiet, speech noise, quiet conference room, reverberant lecture hall, and reverberant lecture hall in noise). In general, subjects did not tend to select different frequency/gain characteristics across the five simulated environments used in this study. When differences in frequency responses were observed, they tended to be alterations in overall gain rather than changes in relative frequency response. Findings support additional evaluation in more diverse listening environments, possibly with systems that incorporate nonlinear signal processing.

Mesh:

Year:  1994        PMID: 8084201     DOI: 10.1044/jshr.3703.712

Source DB:  PubMed          Journal:  J Speech Hear Res        ISSN: 0022-4685


  7 in total

1.  Correction of the peripheral spatiotemporal response pattern: a potential new signal-processing strategy.

Authors:  Lu-Feng Shi; Laurel H Carney; Karen A Doherty
Journal:  J Speech Lang Hear Res       Date:  2006-08       Impact factor: 2.297

2.  Curriculum for graduate courses in amplification.

Authors:  C V Palmer
Journal:  Trends Amplif       Date:  1998-03

3.  Selecting and Pre-setting Amplification for Children: Where Do We Begin?

Authors:  D E Lewis
Journal:  Trends Amplif       Date:  1999-06

4.  Feasibility of real-time selection of frequency tables in an acoustic simulation of a cochlear implant.

Authors:  Matthew B Fitzgerald; Elad Sagi; Tasnim A Morbiwala; Chin-Tuan Tan; Mario A Svirsky
Journal:  Ear Hear       Date:  2013 Nov-Dec       Impact factor: 3.570

5.  Hearing aid fitting and developmental outcomes of children fit according to either the NAL or DSL prescription: fit-to-target, audibility, speech and language abilities.

Authors:  Teresa Y C Ching; Vicky W Zhang; Earl E Johnson; Patricia Van Buynder; Sanna Hou; Lauren Burns; Laura Button; Christopher Flynn; Karen McGhie
Journal:  Int J Audiol       Date:  2017-10-03       Impact factor: 2.117

6.  Self-Adjusted Amplification Parameters Produce Large Between-Subject Variability and Preserve Speech Intelligibility.

Authors:  Peggy B Nelson; Trevor T Perry; Melanie Gregan; Dianne VanTasell
Journal:  Trends Hear       Date:  2018 Jan-Dec       Impact factor: 3.293

7.  Perceived Sound Quality Dimensions Influencing Frequency-Gain Shaping Preferences for Hearing Aid-Amplified Speech and Music.

Authors:  Jonathan M Vaisberg; Steve Beaulac; Danielle Glista; Ewan A Macpherson; Susan D Scollie
Journal:  Trends Hear       Date:  2021 Jan-Dec       Impact factor: 3.293

  7 in total

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