Literature DB >> 29289077

Evaluating hearing aid amplification using idiosyncratic consonant errors.

Ali Abavisani1, Jont B Allen1.   

Abstract

The goal of this study is to provide a metric for evaluating a given hearing-aid insertion gain using a consonant recognition based measure. The basic question addressed is how treatment impacts phone recognition at the token level, relative to a flat insertion gain, at the most-comfortable-level (MCL). These tests are directed at fine-tuning a treatment, with the ultimate goal of improving speech perception, and to identify when a hearing level gain-based treatment degrades phone recognition. Eight subjects with hearing loss were tested under two conditions: flat-gain and a treatment insertion gain, based on subject's hearing level. The speech corpus consisted of consonant-vowel tokens at different signal to speech-weighted noise conditions, presented at the subject's MCL. The treatment caused the average score to improve for 31% of the trials and decrease for 12%. An analysis method based on the accumulated error differences was devised to quantify the benefit each individual ear received from the treatment. Using this measure, the effect of the treatment could be evaluated, providing precise characterization of idiosyncratic phone recognition. This analysis directs the audiologist toward the most susceptible subject-dependent tokens, to focus in the process of fine-tuning the insertion gain of the hearing-aid.

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Mesh:

Year:  2017        PMID: 29289077      PMCID: PMC5741439          DOI: 10.1121/1.5016852

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  21 in total

1.  Relative importance of temporal information in various frequency regions for consonant identification in quiet and in noise.

Authors:  Frédéric Apoux; Sid P Bacon
Journal:  J Acoust Soc Am       Date:  2004-09       Impact factor: 1.840

2.  Perceptual effects of plosive feature modification.

Authors:  Abhinauv Kapoor; Jont B Allen
Journal:  J Acoust Soc Am       Date:  2012-01       Impact factor: 1.840

3.  The influence of stop consonants' perceptual features on the Articulation Index model.

Authors:  Riya Singh; Jont B Allen
Journal:  J Acoust Soc Am       Date:  2012-04       Impact factor: 1.840

4.  A psychoacoustic method to find the perceptual cues of stop consonants in natural speech.

Authors:  Feipeng Li; Anjali Menon; Jont B Allen
Journal:  J Acoust Soc Am       Date:  2010-04       Impact factor: 1.840

5.  The middle ear muscle reflex in the diagnosis of cochlear neuropathy.

Authors:  Michelle D Valero; Kenneth E Hancock; M Charles Liberman
Journal:  Hear Res       Date:  2015-11-30       Impact factor: 3.208

6.  Consonant recognition and the articulation index.

Authors:  Jont B Allen
Journal:  J Acoust Soc Am       Date:  2005-04       Impact factor: 1.840

7.  An Evaluation of the BKB-SIN, HINT, QuickSIN, and WIN Materials on Listeners With Normal Hearing and Listeners With Hearing Loss.

Authors:  Richard H Wilson; Rachel A McArdle; Sherri L Smith
Journal:  J Speech Lang Hear Res       Date:  2007-08       Impact factor: 2.297

8.  Consonant and vowel confusions in speech-weighted noise.

Authors:  Sandeep A Phatak; Jont B Allen
Journal:  J Acoust Soc Am       Date:  2007-04       Impact factor: 1.840

9.  Across- and within-consonant errors for isolated syllables in noise.

Authors:  Joseph C Toscano; Jont B Allen
Journal:  J Speech Lang Hear Res       Date:  2014-12       Impact factor: 2.297

10.  Speech-reception threshold for sentences as a function of age and noise level.

Authors:  R Plomp; A M Mimpen
Journal:  J Acoust Soc Am       Date:  1979-11       Impact factor: 1.840

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  1 in total

1.  High-Frequency Sensorineural Hearing Loss Alters Cue-Weighting Strategies for Discriminating Stop Consonants in Noise.

Authors:  Léo Varnet; Chloé Langlet; Christian Lorenzi; Diane S Lazard; Christophe Micheyl
Journal:  Trends Hear       Date:  2019 Jan-Dec       Impact factor: 3.293

  1 in total

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