Literature DB >> 18795473

Recording and classification of the acoustic environment of hearing aid users.

Kirsten Carola Wagener1, Martin Hansen, Carl Ludvigsen.   

Abstract

This article investigates the different acoustic signals that hearing aid users are exposed to in their everyday environment. Binaural microphone signals from recording positions close to the microphone locations of behind-the-ear hearing aids were recorded by 20 hearing aid users during daily life. The recorded signals were acoustically analyzed with regard to narrowband short-term level distributions. The subjects also performed subjective assessments of their own recordings in the laboratory using several questions from the Glasgow Hearing Aid Benefit Profile (GHABP) questionnaire. Both the questionnaire and the acoustic analysis data show that the importance, problems, and hearing aid benefit as well as the acoustic characteristics of the individual situations vary a lot across subjects. Therefore, in addition to a nonlinear hearing aid fitting, further signal classification and signal/situation-adaptive features are highly desirable inside modern hearing aids. These should be compatible with the variability of the individual sound environments of hearing-impaired listeners.

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Mesh:

Year:  2008        PMID: 18795473     DOI: 10.3766/jaaa.19.4.7

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


  11 in total

1.  The effect of hearing aid technologies on listening in an automobile.

Authors:  Yu-Hsiang Wu; Elizabeth Stangl; Ruth A Bentler; Rachel W Stanziola
Journal:  J Am Acad Audiol       Date:  2013-06       Impact factor: 1.664

2.  Characteristics of Real-World Signal to Noise Ratios and Speech Listening Situations of Older Adults With Mild to Moderate Hearing Loss.

Authors:  Yu-Hsiang Wu; Elizabeth Stangl; Octav Chipara; Syed Shabih Hasan; Anne Welhaven; Jacob Oleson
Journal:  Ear Hear       Date:  2018 Mar/Apr       Impact factor: 3.570

3.  Using a Digital Language Processor to Quantify the Auditory Environment and the Effect of Hearing Aids for Adults with Hearing Loss.

Authors:  Kelsey E Klein; Yu-Hsiang Wu; Elizabeth Stangl; Ruth A Bentler
Journal:  J Am Acad Audiol       Date:  2018-04       Impact factor: 1.664

4.  Benefit of Higher Maximum Force Output in Bone Anchored Hearing Systems: A Crossover Study.

Authors:  Elin Bergius; Marianne Philipsson; Tove Rosenbom; André Sadeghi
Journal:  Otol Neurotol       Date:  2021-12-01       Impact factor: 2.619

5.  GPS predicts stability of listening environment characteristics in one location over time among older hearing aid users.

Authors:  Erik J Jorgensen; Elizabeth Stangl; Octav Chipara; Helin Hernandez; Jacob Oleson; Yu-Hsiang Wu
Journal:  Int J Audiol       Date:  2020-10-19       Impact factor: 2.437

6.  Influence of Audibility and Distortion on Recognition of Reverberant Speech for Children and Adults with Hearing Aid Amplification.

Authors:  Marc A Brennan; Ryan W McCreery; John Massey
Journal:  J Am Acad Audiol       Date:  2021-10-25       Impact factor: 1.245

7.  The Acoustic Environments in Which Older Adults Wear Their Hearing Aids: Insights From Datalogging Sound Environment Classification.

Authors:  Larry E Humes; Sara E Rogers; Anna K Main; Dana L Kinney
Journal:  Am J Audiol       Date:  2018-12-06       Impact factor: 1.493

8.  Binaural Recordings in Natural Acoustic Environments: Estimates of Speech-Likeness and Interaural Parameters.

Authors:  S Theo Goverts; H Steven Colburn
Journal:  Trends Hear       Date:  2020 Jan-Dec       Impact factor: 3.293

9.  A Comparison of Environment Classification Among Premium Hearing Instruments.

Authors:  Anusha Yellamsetty; Erol J Ozmeral; Robert A Budinsky; David A Eddins
Journal:  Trends Hear       Date:  2021 Jan-Dec       Impact factor: 3.293

10.  Movement and Gaze Behavior in Virtual Audiovisual Listening Environments Resembling Everyday Life.

Authors:  Maartje M E Hendrikse; Gerard Llorach; Volker Hohmann; Giso Grimm
Journal:  Trends Hear       Date:  2019 Jan-Dec       Impact factor: 3.293

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