Journal Article10.3109/14992027.2012.721013
Does cognitive function predict frequency compressed speech recognition in listeners with normal hearing and normal cognition
Rachel J Ellis,Kevin J. Munro +1 more
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TL;DR: The relationship between cognitive functioning and recognition of frequency compressed speech-in-noise was not statistically significant and the findings may have been different if the participants had been provided with training and/or time to ‘acclimatize’ to the frequency-compressed conditions.
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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...
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Citations
Age-group differences in speech identification despite matched audiometrically normal hearing: Contributions from auditory temporal processing and cognition
TL;DR: The results suggest that declines in speech perception in older persons are partly caused by cognitive and perceptual changes separate from age-related changes in audiometric sensitivity.
530
On The (Un)importance of Working Memory in Speech-in-Noise Processing for Listeners with Normal Hearing Thresholds.
Christian Füllgrabe,Stuart Rosen +1 more
TL;DR: A meta-analysis revealed that, for young listeners with audiometrically normal hearing, individual variations in WMC are estimated to account for, on average, less than 2% of the variance in SiN identification scores.
How linguistic closure and verbal working memory relate to speech recognition in noise--a review.
TL;DR: In NH adults of middle age or older, both TRT and Rspan were associated with SRTs in speech maskers, whereas TRT better predicted speech recognition in fluctuating nonspeech maskers.
145
Cognitive predictors of perceptual adaptation to accented speech.
TL;DR: Results support a top-down model for successful adaptation to, and recognition of, accented speech; they add to recent theories that allocate a prominent role for executive function to effective speech comprehension in adverse listening conditions.
Individual Variability in Recognition of Frequency-Lowered Speech
TL;DR: A framework is advanced in which factors that influence individual differences in speech recognition can be divided into extrinsic factors that affect the representation of the frequency-lowered speech at the auditory periphery, including the specific technique and the settings chosen for it, and intrinsic factors that contribute to an individual's ability to learn and benefit from this signal.
65
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