Literature DB >> 8194679

Aided listener preferences in laboratory versus real-world environments.

J L Punch1, R Robb, A H Shovels.   

Abstract

A wearable, fully digital, personal processing unit developed for the study of hearing aid fitting and digital signal-processing techniques was utilized in a preliminary study of hearing aid fitting validation. In a modified single-subject, multiple-baseline control design, 12 hearing-impaired listeners indicated their preferences for monaurally aided frequency response alternatives during an initial laboratory session, a real-world session, and a final laboratory session. Listeners' preferences, based on listening to connected speech, were stored in each environment by the personal processing unit. Within blocks of 3 each, subjects were time-lagged with respect to the number of trials to criterion. Subjects participated in 1 of 4 listening conditions, classified according to laboratory stimulus materials; speech recorded in an audiometric sound room in quiet or noise, and speech recorded in a reverberant room in quiet or noise. When compared with preferences obtained in the initial laboratory session, preferences obtained during the final laboratory session agreed better with those obtained in the real world. Overall, however, preferences under laboratory conditions were only fair predictors of preferences under everyday conditions. Results reveal the potential of harnessing the programming and storage capabilities of digital signal-processing technology in implementing new hearing aid fitting strategies.

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Year:  1994        PMID: 8194679     DOI: 10.1097/00003446-199402000-00006

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


  4 in total

1.  Audiologist-driven versus patient-driven fine tuning of hearing instruments.

Authors:  Monique Boymans; Wouter A Dreschler
Journal:  Trends Amplif       Date:  2011-12-04

2.  Amplification Self-Adjustment: Controls and Repeatability.

Authors:  Arthur Boothroyd; Jennifer Retana; Carol L Mackersie
Journal:  Ear Hear       Date:  2022 May/Jun       Impact factor: 3.562

3.  AudioSense: Enabling Real-time Evaluation of Hearing Aid Technology In-Situ.

Authors:  Syed Shabih Hasan; Farley Lai; Octav Chipara; Yu-Hsiang Wu
Journal:  Proc IEEE Int Symp Comput Based Med Syst       Date:  2013

4.  Hearing Aid Self-Adjustment: Effects of Formal Speech-Perception Test and Noise.

Authors:  Carol L Mackersie; Arthur Boothroyd; Harinath Garudadri
Journal:  Trends Hear       Date:  2020 Jan-Dec       Impact factor: 3.293

  4 in total

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