Literature DB >> 33253602

The Type of Noise Influences Quality Ratings for Noisy Speech in Hearing Aid Users.

Emily M H Lundberg1, Song Hui Chon2, James M Kates1, Melinda C Anderson3, Kathryn H Arehart1.   

Abstract

Purpose The overall goal of the current study was to determine whether noise type plays a role in perceptual quality ratings. We compared quality ratings using various noise types and signal-to-noise ratio (SNR) ranges using hearing aid simulations to consider the effects of hearing aid processing features. Method Ten older adults with bilateral mild to moderately severe sensorineural hearing loss rated the sound quality of sentences processed through a hearing aid simulation and presented in the presence of five different noise types (six-talker babble, three-talker conversation, street traffic, kitchen, and fast-food restaurant) at four SNRs (3, 8, 12, and 20 dB). Results Everyday noise types differentially affected sound quality ratings even when presented at the same SNR: Kitchen and three-talker noises were rated significantly higher than restaurant, traffic, and multitalker babble, which were not different from each other. The effects of noise type were most pronounced at poorer SNRs. Conclusions The findings of this study showed that noise types differentially affected sound quality ratings. The differences we observed were consistent with the acoustic characteristics of the noise types. Noise types having lower envelope fluctuations yielded lower quality ratings than noise types characterized by sporadic high-intensity events at the same SNR.

Entities:  

Mesh:

Year:  2020        PMID: 33253602      PMCID: PMC8608155          DOI: 10.1044/2020_JSLHR-20-00156

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  47 in total

1.  Effects of noise, nonlinear processing, and linear filtering on perceived speech quality.

Authors:  Kathryn H Arehart; James M Kates; Melinda C Anderson
Journal:  Ear Hear       Date:  2010-06       Impact factor: 3.570

2.  The effect of compression ratio and release time on the categorical rating of sound quality.

Authors:  A C Neuman; M H Bakke; C Mackersie; S Hellman; H Levitt
Journal:  J Acoust Soc Am       Date:  1998-05       Impact factor: 1.840

3.  Integrating a remote microphone with hearing-aid processing.

Authors:  James M Kates; Kathryn H Arehart; Lewis O Harvey
Journal:  J Acoust Soc Am       Date:  2019-06       Impact factor: 1.840

4.  A Laboratory Evaluation of Contextual Factors Affecting Ratings of Speech in Noise: Implications for Ecological Momentary Assessment.

Authors:  Lorienne M Jenstad; Lise Gillen; Gurjit Singh; Anita DeLongis; Flora Pang
Journal:  Ear Hear       Date:  2019 Jul/Aug       Impact factor: 3.570

5.  The National Acoustic Laboratories' (NAL) new procedure for selecting the gain and frequency response of a hearing aid.

Authors:  D Byrne; H Dillon
Journal:  Ear Hear       Date:  1986-08       Impact factor: 3.570

6.  Questionnaires on desirable properties of hearing aids.

Authors:  B Hagerman; A Gabrielsson
Journal:  Scand Audiol       Date:  1985

7.  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

8.  Degree of Hearing Loss Affects Bilateral Hearing Aid Benefits in Ecologically Relevant Laboratory Conditions.

Authors:  Todd A Ricketts; Erin M Picou; James Shehorn; Andrew B Dittberner
Journal:  J Speech Lang Hear Res       Date:  2019-10-09       Impact factor: 2.297

9.  Working memory and intelligibility of hearing-aid processed speech.

Authors:  Pamela E Souza; Kathryn H Arehart; Jing Shen; Melinda Anderson; James M Kates
Journal:  Front Psychol       Date:  2015-05-07

10.  Self-Adjusted Amplification Parameters Produce Large Between-Subject Variability and Preserve Speech Intelligibility.

Authors:  Peggy B Nelson; Trevor T Perry; Melanie Gregan; Dianne VanTasell
Journal:  Trends Hear       Date:  2018 Jan-Dec       Impact factor: 3.293

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