Literature DB >> 25425917

Methods and applications of the audibility index in hearing aid selection and fitting.

Amyn M Amlani1, Jerry L Punch1, Teresa Y C Ching2.   

Abstract

During the first half of the 20th century, communications engineers at Bell Telephone Laboratories developed the articulation model for predicting speech intelligibility transmitted through different telecommunication devices under varying electroacoustic conditions. The profession of audiology adopted this model and its quantitative aspects, known as the Articulation Index and Speech Intelligibility Index, and applied these indices to the prediction of unaided and aided speech intelligibility in hearing-impaired listeners. Over time, the calculation methods of these indices-referred to collectively in this paper as the Audibility Index-have been continually refined and simplified for clinical use. This article provides (1) an overview of the basic principles and the calculation methods of the Audibility Index, the Speech Transmission Index and related indices, as well as the Speech Recognition Sensitivity Model, (2) a review of the literature on using the Audibility Index to predict speech intelligibility of hearing-impaired listeners, (3) a review of the literature on the applicability of the Audibility Index to the selection and fitting of hearing aids, and (4) a discussion of future scientific needs and clinical applications of the Audibility Index.

Entities:  

Year:  2002        PMID: 25425917      PMCID: PMC4168961          DOI: 10.1177/108471380200600302

Source DB:  PubMed          Journal:  Trends Amplif        ISSN: 1084-7138


  111 in total

1.  Speech audibility for listeners with high-frequency hearing loss.

Authors:  C W Turner; K J Cummings
Journal:  Am J Audiol       Date:  1999-06       Impact factor: 1.493

2.  A graphical method for calculating the speech intelligibility index and measuring hearing disability from audiograms.

Authors:  M Kringlebotn
Journal:  Scand Audiol       Date:  1999

3.  Neural presbycusis: a diagnostic dilemma.

Authors:  G A Gates; G R Popelka
Journal:  Am J Otol       Date:  1992-07

4.  The effect of linguistic entropy on speech perception in noise in young and elderly listeners.

Authors:  J C van Rooij; R Plomp
Journal:  J Acoust Soc Am       Date:  1991-12       Impact factor: 1.840

5.  The input/output formula: a theoretical approach to the fitting of personal amplification devices.

Authors:  L E Cornelisse; R C Seewald; D G Jamieson
Journal:  J Acoust Soc Am       Date:  1995-03       Impact factor: 1.840

6.  Monaural and binaural speech perception through hearing aids under noise and reverberation with normal and hearing-impaired listeners.

Authors:  A K Nabelek; J M Pickett
Journal:  J Speech Hear Res       Date:  1974-12

7.  Evaluation of the use of a new compact disc for auditory perceptual assessment in the elderly.

Authors:  L E Humes; M Coughlin; L Talley
Journal:  J Am Acad Audiol       Date:  1996-12       Impact factor: 1.664

8.  Stop-consonant recognition for normal-hearing listeners and listeners with high-frequency hearing loss. II: Articulation index predictions.

Authors:  J R Dubno; D D Dirks; A B Schaefer
Journal:  J Acoust Soc Am       Date:  1989-01       Impact factor: 1.840

9.  Speech intelligibility in noise-induced hearing loss: effects of high-frequency compensation.

Authors:  M W Skinner
Journal:  J Acoust Soc Am       Date:  1980-01       Impact factor: 1.840

10.  High-frequency audibility: benefits for hearing-impaired listeners.

Authors:  C A Hogan; C W Turner
Journal:  J Acoust Soc Am       Date:  1998-07       Impact factor: 1.840

View more
  7 in total

1.  Extending the articulation index to account for non-linear distortions introduced by noise-suppression algorithms.

Authors:  Philipos C Loizou; Jianfen Ma
Journal:  J Acoust Soc Am       Date:  2011-08       Impact factor: 1.840

2.  Hearing Aid Treatment for Patients with Mixed Hearing Loss. Part II: Speech Recognition in Comparison to Direct Acoustic Cochlear Stimulation.

Authors:  Nina Wardenga; Ad F M Snik; Eugen Kludt; Bernd Waldmann; Thomas Lenarz; Hannes Maier
Journal:  Audiol Neurootol       Date:  2020-01-31       Impact factor: 1.854

3.  Using Objective Metrics to Measure Hearing Aid Performance.

Authors:  James M Kates; Kathryn H Arehart; Melinda C Anderson; Ramesh Kumar Muralimanohar; Lewis O Harvey
Journal:  Ear Hear       Date:  2018 Nov/Dec       Impact factor: 3.570

4.  The Band-Importance Function for the Korean Standard Sentence Lists for Adults.

Authors:  In-Ki Jin; Junghak Lee; Kyoungwon Lee; Jinsook Kim; Dongwook Kim; Junil Sohn; Kyung-Ju Lee
Journal:  J Audiol Otol       Date:  2016-09-01

5.  Effects of audibility and multichannel wide dynamic range compression on consonant recognition for listeners with severe hearing loss.

Authors:  Evelyn Davies-Venn; Pamela Souza; Marc Brennan; G Christopher Stecker
Journal:  Ear Hear       Date:  2009-10       Impact factor: 3.570

6.  Characteristics of hearing aid fittings in infants and young children.

Authors:  Ryan W McCreery; Ruth A Bentler; Patricia A Roush
Journal:  Ear Hear       Date:  2013 Nov-Dec       Impact factor: 3.570

7.  A Cochlear Implant Performance Prognostic Test Based on Electrical Field Interactions Evaluated by eABR (Electrical Auditory Brainstem Responses).

Authors:  Nicolas Guevara; Michel Hoen; Eric Truy; Stéphane Gallego
Journal:  PLoS One       Date:  2016-05-05       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.