Literature DB >> 19380604

Objective measures of listening effort: effects of background noise and noise reduction.

Anastasios Sarampalis1, Sridhar Kalluri, Brent Edwards, Ervin Hafter.   

Abstract

PURPOSE: This work is aimed at addressing a seeming contradiction related to the use of noise-reduction (NR) algorithms in hearing aids. The problem is that although some listeners claim a subjective improvement from NR, it has not been shown to improve speech intelligibility, often even making it worse.
METHOD: To address this, the hypothesis tested here is that the positive effects of NR might be to reduce cognitive effort directed toward speech reception, making it available for other tasks. Normal-hearing individuals participated in 2 dual-task experiments, in which 1 task was to report sentences or words in noise set to various signal-to-noise ratios. Secondary tasks involved either holding words in short-term memory or responding in a complex visual reaction-time task.
RESULTS: At low values of signal-to-noise ratio, although NR had no positive effect on speech reception thresholds, it led to better performance on the word-memory task and quicker responses in visual reaction times.
CONCLUSIONS: Results from both dual tasks support the hypothesis that NR reduces listening effort and frees up cognitive resources for other tasks. Future hearing aid research should incorporate objective measurements of cognitive benefits.

Entities:  

Mesh:

Year:  2009        PMID: 19380604     DOI: 10.1044/1092-4388(2009/08-0111)

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


  104 in total

1.  Do irrelevant sounds impair the maintenance of all characteristics of speech in memory?

Authors:  D Gabriel; E Gaudrain; G Lebrun-Guillaud; F Sheppard; I M Tomescu; A Schnider
Journal:  J Psycholinguist Res       Date:  2012-12

2.  The hidden effect of hearing acuity on speech recall, and compensatory effects of self-paced listening.

Authors:  Tepring Piquado; Jonathan I Benichov; Hiram Brownell; Arthur Wingfield
Journal:  Int J Audiol       Date:  2012-06-26       Impact factor: 2.117

3.  Psychometric Functions of Dual-Task Paradigms for Measuring Listening Effort.

Authors:  Yu-Hsiang Wu; Elizabeth Stangl; Xuyang Zhang; Joanna Perkins; Emily Eilers
Journal:  Ear Hear       Date:  2016 Nov/Dec       Impact factor: 3.570

4.  Perceived listening effort for a tonal task with contralateral competing signals.

Authors:  William J Bologna; Monita Chatterjee; Judy R Dubno
Journal:  J Acoust Soc Am       Date:  2013-10       Impact factor: 1.840

5.  Spatial separation benefit for unaided and aided listening.

Authors:  Jayne B Ahlstrom; Amy R Horwitz; Judy R Dubno
Journal:  Ear Hear       Date:  2014 Jan-Feb       Impact factor: 3.570

6.  Mechanisms of noise robust representation of speech in primary auditory cortex.

Authors:  Nima Mesgarani; Stephen V David; Jonathan B Fritz; Shihab A Shamma
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-21       Impact factor: 11.205

7.  Integrating cognitive and peripheral factors in predicting hearing-aid processing effectiveness.

Authors:  James M Kates; Kathryn H Arehart; Pamela E Souza
Journal:  J Acoust Soc Am       Date:  2013-12       Impact factor: 1.840

8.  Low-frequency fine-structure cues allow for the online use of lexical stress during spoken-word recognition in spectrally degraded speech.

Authors:  Ying-Yee Kong; Alexandra Jesse
Journal:  J Acoust Soc Am       Date:  2017-01       Impact factor: 1.840

9.  Talking points: A modulating circle reduces listening effort without improving speech recognition.

Authors:  Julia F Strand; Violet A Brown; Dennis L Barbour
Journal:  Psychon Bull Rev       Date:  2019-02

10.  Effects of digital noise reduction on speech perception for children with hearing loss.

Authors:  Patricia Stelmachowicz; Dawna Lewis; Brenda Hoover; Kanae Nishi; Ryan McCreery; William Woods
Journal:  Ear Hear       Date:  2010-06       Impact factor: 3.570

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