Literature DB >> 24535558

The influence of audibility on speech recognition with nonlinear frequency compression for children and adults with hearing loss.

Ryan W McCreery1, Joshua Alexander, Marc A Brennan, Brenda Hoover, Judy Kopun, Patricia G Stelmachowicz.   

Abstract

OBJECTIVE: The primary goal of nonlinear frequency compression (NFC) and other frequency-lowering strategies is to increase the audibility of high-frequency sounds that are not otherwise audible with conventional hearing aid (HA) processing due to the degree of hearing loss, limited HA bandwidth, or a combination of both factors. The aim of the present study was to compare estimates of speech audibility processed by NFC with improvements in speech recognition for a group of children and adults with high-frequency hearing loss.
DESIGN: Monosyllabic word recognition was measured in noise for 24 adults and 12 children with mild to severe sensorineural hearing loss. Stimuli were amplified based on each listener's audiogram with conventional processing (CP) with amplitude compression or with NFC and presented under headphones using a software-based HA simulator. A modification of the speech intelligibility index (SII) was used to estimate audibility of information in frequency-lowered bands. The mean improvement in SII was compared with the mean improvement in speech recognition.
RESULTS: All but 2 listeners experienced improvements in speech recognition with NFC compared with CP, consistent with the small increase in audibility that was estimated using the modification of the SII. Children and adults had similar improvements in speech recognition with NFC.
CONCLUSION: Word recognition with NFC was higher than CP for children and adults with mild to severe hearing loss. The average improvement in speech recognition with NFC (7%) was consistent with the modified SII, which indicated that listeners experienced an increase in audibility with NFC compared with CP. Further studies are necessary to determine whether changes in audibility with NFC are related to speech recognition with NFC for listeners with greater degrees of hearing loss, with a greater variety of compression settings, and using auditory training.

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Mesh:

Year:  2014        PMID: 24535558      PMCID: PMC4065641          DOI: 10.1097/AUD.0000000000000027

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


  23 in total

1.  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
Journal:  Behav Res Methods       Date:  2010-05

2.  Advantages of a non-linear frequency compression algorithm in noise.

Authors:  Andrea Bohnert; Myriel Nyffeler; Annerose Keilmann
Journal:  Eur Arch Otorhinolaryngol       Date:  2010-02-02       Impact factor: 2.503

3.  Evaluation of nonlinear frequency compression for school-age children with moderate to moderately severe hearing loss.

Authors:  Jace Wolfe; Andrew John; Erin Schafer; Myriel Nyffeler; Michael Boretzki; Teresa Caraway
Journal:  J Am Acad Audiol       Date:  2010 Nov-Dec       Impact factor: 1.664

4.  Audibility-based predictions of speech recognition for children and adults with normal hearing.

Authors:  Ryan W McCreery; Patricia G Stelmachowicz
Journal:  J Acoust Soc Am       Date:  2011-12       Impact factor: 1.840

5.  Long-term effects of non-linear frequency compression for children with moderate hearing loss.

Authors:  Jace Wolfe; Andrew John; Erin Schafer; Myriel Nyffeler; Michael Boretzki; Teresa Caraway; Mary Hudson
Journal:  Int J Audiol       Date:  2011-02-28       Impact factor: 2.117

6.  Effects of degree and configuration of hearing loss on the contribution of high- and low-frequency speech information to bilateral speech understanding.

Authors:  Benjamin W Y Hornsby; Earl E Johnson; Erin Picou
Journal:  Ear Hear       Date:  2011 Sep-Oct       Impact factor: 3.570

7.  Performance-intensity functions for normal-hearing adults and children using computer-aided speech perception assessment.

Authors:  Ryan McCreery; Rindy Ito; Merry Spratford; Dawna Lewis; Brenda Hoover; Patricia G Stelmachowicz
Journal:  Ear Hear       Date:  2010-02       Impact factor: 3.570

Review 8.  Frequency-lowering devices for managing high-frequency hearing loss: a review.

Authors:  Andrea Simpson
Journal:  Trends Amplif       Date:  2009-06

9.  Short-term word-learning rate in children with normal hearing and children with hearing loss in limited and extended high-frequency bandwidths.

Authors:  Andrea L Pittman
Journal:  J Speech Lang Hear Res       Date:  2008-06       Impact factor: 2.297

Review 10.  An evidence-based systematic review of frequency lowering in hearing aids for school-age children with hearing loss.

Authors:  Ryan W McCreery; Rebecca A Venediktov; Jaumeiko J Coleman; Hillary M Leech
Journal:  Am J Audiol       Date:  2012-08-02       Impact factor: 1.493

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  22 in total

1.  The influence of hearing-aid compression on forward-masked thresholds for adults with hearing loss.

Authors:  Marc A Brennan; Ryan W McCreery; Walt Jesteadt
Journal:  J Acoust Soc Am       Date:  2015-10       Impact factor: 1.840

2.  Effect of Context and Hearing Loss on Time-Gated Word Recognition in Children.

Authors:  Dawna Lewis; Judy Kopun; Ryan McCreery; Marc Brennan; Kanae Nishi; Evan Cordrey; Pat Stelmachowicz; Mary Pat Moeller
Journal:  Ear Hear       Date:  2017 May/Jun       Impact factor: 3.570

3.  Effects of Amplification and Hearing Aid Experience on the Contribution of Specific Frequency Bands to Loudness.

Authors:  Katie M Thrailkill; Marc A Brennan; Walt Jesteadt
Journal:  Ear Hear       Date:  2019 Jan/Feb       Impact factor: 3.570

Review 4.  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

5.  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

6.  Neural-scaled entropy predicts the effects of nonlinear frequency compression on speech perception.

Authors:  Varsha H Rallapalli; Joshua M Alexander
Journal:  J Acoust Soc Am       Date:  2015-11       Impact factor: 1.840

7.  Stability of Audiometric Thresholds for Children with Hearing Aids Applying the American Academy of Audiology Pediatric Amplification Guideline: Implications for Safety.

Authors:  Ryan McCreery; Elizabeth Walker; Meredith Spratford; Benjamin Kirby; Jacob Oleson; Marc Brennan
Journal:  J Am Acad Audiol       Date:  2016-03       Impact factor: 1.664

8.  Longitudinal Predictors of Aided Speech Audibility in Infants and Children.

Authors:  Ryan W McCreery; Elizabeth A Walker; Meredith Spratford; Ruth Bentler; Lenore Holte; Patricia Roush; Jacob Oleson; John Van Buren; Mary Pat Moeller
Journal:  Ear Hear       Date:  2015 Nov-Dec       Impact factor: 3.570

9.  The effects of frequency lowering on speech perception in noise with adult hearing-aid users.

Authors:  Christi W Miller; Emily Bates; Marc Brennan
Journal:  Int J Audiol       Date:  2016-03-03       Impact factor: 2.117

10.  Nonlinear frequency compression in hearing aids: impact on speech and language development.

Authors:  Ruth Bentler; Elizabeth Walker; Ryan McCreery; Richard M Arenas; Patricia Roush
Journal:  Ear Hear       Date:  2014 Jul-Aug       Impact factor: 3.570

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