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Working Memory and Degraded Speech R...

Rotman, Tali,

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Working Memory and Degraded Speech Recognition in Older Adults With Hearing Loss /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Working Memory and Degraded Speech Recognition in Older Adults With Hearing Loss // Tali Rotman.
作者:	Rotman, Tali,
面頁冊數:	1 electronic resource (127 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
Contained By:	Dissertations Abstracts International86-11B.
標題:	Audiology. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32001319
ISBN:	9798315752318

Working Memory and Degraded Speech Recognition in Older Adults With Hearing Loss /
Rotman, Tali,

Working Memory and Degraded Speech Recognition in Older Adults With Hearing Loss /Tali Rotman. - 1 electronic resource (127 pages)

Source: Dissertations Abstracts International, Volume: 86-11, Section: B.

Listening in complex acoustic environments with degraded speech signals poses considerable challenges, particularly for older adults with hearing loss. While these difficulties are primarily attributed to elevated hearing thresholds, the involvement of cognitive processes, especially working memory, in comprehending speech under suboptimal listening conditions is well established. However, research on the specific contributions of various working memory span tasks to the ability of older adults with hearing loss to recognize different types of degraded speech has been inconsistent.This dissertation examines the relationship between various working memory span tasks (including the reading span test, list sorting task, and word/nonword repetition span) and the ability of 28 older listeners (aged 61-87) with hearing loss to recognize three types of degraded speech: reverberant speech, speech embedded in multi-talker babble noise, and time-compressed speech. To standardize recognition task scores, we developed an adaptive procedure to establish the speech reception threshold for each degraded condition.Analysis revealed notable differences in group and individual performance across the speech recognition tasks, necessitating careful determination of the SRT for each. Additionally, in all tasks, participants showed significant improvement throughout, suggesting procedural learning or rapid perceptual adaptation that may influence adaptive SRT measurement. Among working memory tasks, only the reading span test significantly correlated with performance in both speech-in-noise and time-compressed speech tasks and was a significant predictor of variance in the speech-in-noise task. This implies that selecting specific working memory tasks, such as the reading span test, is essential when examining cognitive contributions to degraded speech recognition.These findings highlight the pivotal role of working memory in supporting speech recognition under adverse conditions for older adults with hearing loss. The study underscores the importance of incorporating cognitive factors, such as working memory capacity, into auditory rehabilitation strategies, providing valuable insights into the interaction between cognitive and auditory processes in this population. Furthermore, this work lays a foundation for advancing adaptive procedures to assess speech reception thresholds across other types of degraded speech beyond the established procedures for assessing the signal-to-noise ratio for 50% recognition (SNR50) of speech in background noise.

English

ISBN: 9798315752318Subjects--Topical Terms:

537237
Audiology.
Subjects--Index Terms:

Hearing loss

Working Memory and Degraded Speech Recognition in Older Adults With Hearing Loss /
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520 $a Listening in complex acoustic environments with degraded speech signals poses considerable challenges, particularly for older adults with hearing loss. While these difficulties are primarily attributed to elevated hearing thresholds, the involvement of cognitive processes, especially working memory, in comprehending speech under suboptimal listening conditions is well established. However, research on the specific contributions of various working memory span tasks to the ability of older adults with hearing loss to recognize different types of degraded speech has been inconsistent.This dissertation examines the relationship between various working memory span tasks (including the reading span test, list sorting task, and word/nonword repetition span) and the ability of 28 older listeners (aged 61-87) with hearing loss to recognize three types of degraded speech: reverberant speech, speech embedded in multi-talker babble noise, and time-compressed speech. To standardize recognition task scores, we developed an adaptive procedure to establish the speech reception threshold for each degraded condition.Analysis revealed notable differences in group and individual performance across the speech recognition tasks, necessitating careful determination of the SRT for each. Additionally, in all tasks, participants showed significant improvement throughout, suggesting procedural learning or rapid perceptual adaptation that may influence adaptive SRT measurement. Among working memory tasks, only the reading span test significantly correlated with performance in both speech-in-noise and time-compressed speech tasks and was a significant predictor of variance in the speech-in-noise task. This implies that selecting specific working memory tasks, such as the reading span test, is essential when examining cognitive contributions to degraded speech recognition.These findings highlight the pivotal role of working memory in supporting speech recognition under adverse conditions for older adults with hearing loss. The study underscores the importance of incorporating cognitive factors, such as working memory capacity, into auditory rehabilitation strategies, providing valuable insights into the interaction between cognitive and auditory processes in this population. Furthermore, this work lays a foundation for advancing adaptive procedures to assess speech reception thresholds across other types of degraded speech beyond the established procedures for assessing the signal-to-noise ratio for 50% recognition (SNR50) of speech in background noise.
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