Literature DB >> 28972470

Listener Performance with a Novel Hearing Aid Frequency Lowering Technique.

Benjamin J Kirby1, Judy G Kopun2, Meredith Spratford2, Clairissa M Mollak3, Marc A Brennan2, Ryan W McCreery2.   

Abstract

BACKGROUND: Sloping hearing loss imposes limits on audibility for high-frequency sounds in many hearing aid users. Signal processing algorithms that shift high-frequency sounds to lower frequencies have been introduced in hearing aids to address this challenge by improving audibility of high-frequency sounds.
PURPOSE: This study examined speech perception performance, listening effort, and subjective sound quality ratings with conventional hearing aid processing and a new frequency-lowering signal processing strategy called frequency composition (FC) in adults and children. RESEARCH
DESIGN: Participants wore the study hearing aids in two signal processing conditions (conventional processing versus FC) at an initial laboratory visit and subsequently at home during two approximately six-week long trials, with the order of conditions counterbalanced across individuals in a double-blind paradigm. STUDY SAMPLE: Children (N = 12, 7 females, mean age in years = 12.0, SD = 3.0) and adults (N = 12, 6 females, mean age in years = 56.2, SD = 17.6) with bilateral sensorineural hearing loss who were full-time hearing aid users. DATA COLLECTION AND ANALYSES: Individual performance with each type of processing was assessed using speech perception tasks, a measure of listening effort, and subjective sound quality surveys at an initial visit. At the conclusion of each subsequent at-home trial, participants were retested in the laboratory. Linear mixed effects analyses were completed for each outcome measure with signal processing condition, age group, visit (prehome versus posthome trial), and measures of aided audibility as predictors.
RESULTS: Overall, there were few significant differences in speech perception, listening effort, or subjective sound quality between FC and conventional processing, effects of listener age, or longitudinal changes in performance. Listeners preferred FC to conventional processing on one of six subjective sound quality metrics. Better speech perception performance was consistently related to higher aided audibility.
CONCLUSIONS: These results indicate that when high-frequency speech sounds are made audible with conventional processing, speech recognition ability and listening effort are similar between conventional processing and FC. Despite the lack of benefit to speech perception, some listeners still preferred FC, suggesting that qualitative measures should be considered when evaluating candidacy for this signal processing strategy. American Academy of Audiology

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Year:  2017        PMID: 28972470      PMCID: PMC5665573          DOI: 10.3766/jaaa.16157

Source DB:  PubMed          Journal:  J Am Acad Audiol        ISSN: 1050-0545            Impact factor:   1.664


  36 in total

1.  Improvements in speech perception with an experimental nonlinear frequency compression hearing device.

Authors:  Andrea Simpson; Adam A Hersbach; Hugh J McDermott
Journal:  Int J Audiol       Date:  2005-05       Impact factor: 2.117

2.  An online calculator to compute phonotactic probability and neighborhood density on the basis of child corpora of spoken American English.

Authors:  Holly L Storkel; Jill R Hoover
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3.  Effect of linear frequency transposition on speech recognition and production of school-age children.

Authors:  Jane Auriemmo; Francis Kuk; Chi Lau; Susan Marshall; Natalie Thiele; Margaret Pikora; Debra Quick; Patricia Stenger
Journal:  J Am Acad Audiol       Date:  2009-05       Impact factor: 1.664

4.  The VideoToolbox software for visual psychophysics: transforming numbers into movies.

Authors:  D G Pelli
Journal:  Spat Vis       Date:  1997

5.  Impact of frequency compression on music perception.

Authors:  Bruna S S Mussoi; Ruth A Bentler
Journal:  Int J Audiol       Date:  2015-03-27       Impact factor: 2.117

6.  Nonlinear frequency compression: Influence of start frequency and input bandwidth on consonant and vowel recognition.

Authors:  Joshua M Alexander
Journal:  J Acoust Soc Am       Date:  2016-02       Impact factor: 1.840

7.  Perceptual acclimatization post nonlinear frequency compression hearing aid fitting in older children.

Authors:  Danielle Glista; Susan Scollie; Jacob Sulkers
Journal:  J Speech Lang Hear Res       Date:  2012-05-21       Impact factor: 2.297

8.  A Developmental Functional MRI Study of Prefrontal Activation during Performance of a Go-No-Go Task.

Authors:  B J Casey; R J Trainor; J L Orendi; A B Schubert; L E Nystrom; J N Giedd; F X Castellanos; J V Haxby; D C Noll; J D Cohen; S D Forman; R E Dahl; J L Rapoport
Journal:  J Cogn Neurosci       Date:  1997-11       Impact factor: 3.225

9.  Distribution of hearing loss characteristics in a clinical population.

Authors:  Robert H Margolis; George L Saly
Journal:  Ear Hear       Date:  2008-08       Impact factor: 3.570

10.  Evaluation of nonlinear frequency compression: clinical outcomes.

Authors:  Danielle Glista; Susan Scollie; Marlene Bagatto; Richard Seewald; Vijay Parsa; Andrew Johnson
Journal:  Int J Audiol       Date:  2009       Impact factor: 2.117

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  3 in total

Review 1.  The Use of Frequency Lowering Technology in the Treatment of Severe-to-Profound Hearing Loss: A Review of the Literature and Candidacy Considerations for Clinical Application.

Authors:  Danielle Glista; Susan Scollie
Journal:  Semin Hear       Date:  2018-10-26

2.  Do high-frequency air-bone gaps persist after ossiculoplasty?

Authors:  Marc D Polanik; Danielle R Trakimas; Melissa Castillo-Bustamante; Jeffrey T Cheng; Elliott D Kozin; Aaron K Remenschneider
Journal:  Laryngoscope Investig Otolaryngol       Date:  2020-06-26

3.  Evaluation of a Frequency-Lowering Algorithm for Adults With High-Frequency Hearing Loss.

Authors:  Marina Salorio-Corbetto; Thomas Baer; Brian C J Moore
Journal:  Trends Hear       Date:  2017 Jan-Dec       Impact factor: 3.293

  3 in total

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