Literature DB >> 32006979

Sentence perception in noise by hearing-aid users predicted by syllable-constituent perception and the use of context.

James D Miller1, Charles S Watson1, Marjorie R Leek2, David J Wark3, Pamela E Souza4, Sandra Gordon-Salant5, Jayne B Ahlstrom6, Judy R Dubno6.   

Abstract

Masked sentence perception by hearing-aid users is strongly correlated with three variables: (1) the ability to hear phonetic details as estimated by the identification of syllable constituents in quiet or in noise; (2) the ability to use situational context that is extrinsic to the speech signal; and (3) the ability to use inherent context provided by the speech signal itself. This approach is called "the syllable-constituent, contextual theory of speech perception" and is supported by the performance of 57 hearing-aid users in the identification of 109 syllable constituents presented in a background of 12-talker babble and the identification of words in naturally spoken sentences presented in the same babble. A simple mathematical model, inspired in large part by Boothroyd and Nittrouer [(1988). J. Acoust. Soc. Am. 84, 101-114] and Fletcher [Allen (1996) J. Acoust. Soc. Am. 99, 1825-1834], predicts sentence perception from listeners' abilities to recognize isolated syllable constituents and to benefit from context. When the identification accuracy of syllable constituents is greater than about 55%, individual differences in context utilization play a minor role in determining the sentence scores. As syllable-constituent scores fall below 55%, individual differences in context utilization play an increasingly greater role in determining sentence scores. Implications for hearing-aid design goals and fitting procedures are discussed.

Entities:  

Mesh:

Year:  2020        PMID: 32006979      PMCID: PMC7043864          DOI: 10.1121/10.0000563

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


  9 in total

1.  Evaluation of context effects in sentence recognition.

Authors:  Adelbert W Bronkhorst; Thomas Brand; Kirsten Wagener
Journal:  J Acoust Soc Am       Date:  2002-06       Impact factor: 1.840

2.  Average Speech Levels and Spectra in Various Speaking/Listening Conditions: A Summary of the Pearson, Bennett, & Fidell (1977) Report.

Authors:  Wayne O Olsen
Journal:  Am J Audiol       Date:  1998-10-01       Impact factor: 1.493

3.  Estimation of Signal-to-Noise Ratios in Realistic Sound Scenarios.

Authors:  Karolina Smeds; Florian Wolters; Martin Rung
Journal:  J Am Acad Audiol       Date:  2015-02       Impact factor: 1.664

4.  Syllable-constituent perception by hearing-aid users: Common factors in quiet and noise.

Authors:  James D Miller; Charles S Watson; Marjorie R Leek; Judy R Dubno; David J Wark; Pamela E Souza; Sandra Gordon-Salant; Jayne B Ahlstrom
Journal:  J Acoust Soc Am       Date:  2017-04       Impact factor: 1.840

5.  Evaluation of Speech-Perception Training for Hearing Aid Users: A Multisite Study in Progress.

Authors:  James D Miller; Charles S Watson; Judy R Dubno; Marjorie R Leek
Journal:  Semin Hear       Date:  2015-11

6.  Mathematical treatment of context effects in phoneme and word recognition.

Authors:  A Boothroyd; S Nittrouer
Journal:  J Acoust Soc Am       Date:  1988-07       Impact factor: 1.840

7.  A model for context effects in speech recognition.

Authors:  A W Bronkhorst; A J Bosman; G F Smoorenburg
Journal:  J Acoust Soc Am       Date:  1993-01       Impact factor: 1.840

8.  Clinical experience with the words-in-noise test on 3430 veterans: comparisons with pure-tone thresholds and word recognition in quiet.

Authors:  Richard H Wilson
Journal:  J Am Acad Audiol       Date:  2011 Jul-Aug       Impact factor: 1.664

9.  Harvey Fletcher's role in the creation of communication acoustics.

Authors:  J B Allen
Journal:  J Acoust Soc Am       Date:  1996-04       Impact factor: 1.840

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.