Literature DB >> 23088164

Does cognitive function predict frequency compressed speech recognition in listeners with normal hearing and normal cognition?

Rachel J Ellis1, Kevin J Munro.   

Abstract

OBJECTIVE: The aim was to investigate the relationship between cognitive ability and frequency compressed speech recognition in listeners with normal hearing and normal cognition.
DESIGN: Speech-in-noise recognition was measured using Institute of Electrical and Electronic Engineers sentences presented over earphones at 65 dB SPL and a range of signal-to-noise ratios. There were three conditions: unprocessed, and at frequency compression ratios of 2:1 and 3:1 (cut-off frequency, 1.6 kHz). Working memory and cognitive ability were measured using the reading span test and the trail making test, respectively. STUDY SAMPLE: Participants were 15 young normally-hearing adults with normal cognition.
RESULTS: There was a statistically significant reduction in mean speech recognition from around 80% when unprocessed to 40% for 2:1 compression and 30% for 3:1 compression. There was a statistically significant relationship between speech recognition and cognition for the unprocessed condition but not for the frequency-compressed conditions.
CONCLUSIONS: The relationship between cognitive functioning and recognition of frequency compressed speech-in-noise was not statistically significant. The findings may have been different if the participants had been provided with training and/or time to 'acclimatize' to the frequency-compressed conditions.

Entities:  

Mesh:

Year:  2012        PMID: 23088164     DOI: 10.3109/14992027.2012.721013

Source DB:  PubMed          Journal:  Int J Audiol        ISSN: 1499-2027            Impact factor:   2.117


  17 in total

1.  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

Review 2.  The Use of Frequency Lowering Technology in the Treatment of Severe-to-Profound Hearing Loss: A Review of the Literature and Candidacy Considerations for Clinical Application.

Authors:  Danielle Glista; Susan Scollie
Journal:  Semin Hear       Date:  2018-10-26

3.  Time-Compressed Speech Identification Is Predicted by Auditory Neural Processing, Perceptuomotor Speed, and Executive Functioning in Younger and Older Listeners.

Authors:  James W Dias; Carolyn M McClaskey; Kelly C Harris
Journal:  J Assoc Res Otolaryngol       Date:  2018-11-19

4.  Nonlinear frequency compression: Influence of start frequency and input bandwidth on consonant and vowel recognition.

Authors:  Joshua M Alexander
Journal:  J Acoust Soc Am       Date:  2016-02       Impact factor: 1.840

Review 5.  How linguistic closure and verbal working memory relate to speech recognition in noise--a review.

Authors:  Jana Besser; Thomas Koelewijn; Adriana A Zekveld; Sophia E Kramer; Joost M Festen
Journal:  Trends Amplif       Date:  2013-08-13

6.  Effects of Nonlinear Frequency Compression on ACC Amplitude and Listener Performance.

Authors:  Benjamin James Kirby; Carolyn J Brown
Journal:  Ear Hear       Date:  2015 Sep-Oct       Impact factor: 3.570

7.  Gated auditory speech perception: effects of listening conditions and cognitive capacity.

Authors:  Shahram Moradi; Björn Lidestam; Amin Saremi; Jerker Rönnberg
Journal:  Front Psychol       Date:  2014-06-02

8.  Age-group differences in speech identification despite matched audiometrically normal hearing: contributions from auditory temporal processing and cognition.

Authors:  Christian Füllgrabe; Brian C J Moore; Michael A Stone
Journal:  Front Aging Neurosci       Date:  2015-01-13       Impact factor: 5.750

9.  Listener Performance with a Novel Hearing Aid Frequency Lowering Technique.

Authors:  Benjamin J Kirby; Judy G Kopun; Meredith Spratford; Clairissa M Mollak; Marc A Brennan; Ryan W McCreery
Journal:  J Am Acad Audiol       Date:  2017-10       Impact factor: 1.664

10.  Cognitive processing load during listening is reduced more by decreasing voice similarity than by increasing spatial separation between target and masker speech.

Authors:  Adriana A Zekveld; Mary Rudner; Sophia E Kramer; Johannes Lyzenga; Jerker Rönnberg
Journal:  Front Neurosci       Date:  2014-04-29       Impact factor: 4.677

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