Clinical utility of response time in speech audiometry in elderly with mild cognitive impairment

Lee, Soo Jung; Lee, Sungmin

doi:10.1080/14992027.2022.2047234

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…Chen, et al (2022) [35] indicated significant cognitive function variance (general, WM, Executive Function (EF) and verbal learning) in older adults with hearing loss (with or without hearing aids) could be explained by SIN performance, while pure tones thresholds were not relevant to cognitive function. Lee and Lee (2023) [36] suggested using reaction time (RT) for SIN testing as a potential screener for MCI in older adults, with significant correlations between MMSE and SIN RT. Another study suggests auditory streaming task performance and reaction times are sensitive to both cognitive and auditory abilities [37].…”

Section: Speech-in-noise (Sin) Cognitive Variablesmentioning

confidence: 99%

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Cognitive Hearing Science: Clinical Implications in Audiology

Seeman

2024

OJOR

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Section: Speech-in-noise (Sin) Cognitive Variablesmentioning

confidence: 99%

“…However, at this point it is unclear how this could be measured clinically in an efficient manner. Possibilities include subjective questionnaires and objective measures such as a delayed recall task58 or reaction time measures for word recognition testing [36].…”

Section: Avoidance Of Sub-optimal Listening Conditionsmentioning

confidence: 99%

Cognitive Hearing Science: Clinical Implications in Audiology

Seeman

2024

OJOR

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Acoustic reflexes: should we be paying more attention?

Prendergast

Sathe

Heinrich

et al. 2023

International Journal of Audiology

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Automated Measurement of Speech Recognition, Reaction Time, and Speech Rate and Their Relation to Self-Reported Listening Effort for Normal-Hearing and Hearing-Impaired Listeners Using various Maskers

Holube,

Taesler,

Ibelings

et al. 2024

Trends in Hearing

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In speech audiometry, the speech-recognition threshold (SRT) is usually established by adjusting the signal-to-noise ratio (SNR) until 50% of the words or sentences are repeated correctly. However, these conditions are rarely encountered in everyday situations. Therefore, for a group of 15 young participants with normal hearing and a group of 12 older participants with hearing impairment, speech-recognition scores were determined at SRT and at four higher SNRs using several stationary and fluctuating maskers. Participants’ verbal responses were recorded, and participants were asked to self-report their listening effort on a categorical scale (self-reported listening effort, SR-LE). The responses were analyzed using an Automatic Speech Recognizer (ASR) and compared to the results of a human examiner. An intraclass correlation coefficient of r = .993 for the agreement between their corresponding speech-recognition scores was observed. As expected, speech-recognition scores increased with increasing SNR and decreased with increasing SR-LE. However, differences between speech-recognition scores for fluctuating and stationary maskers were observed as a function of SNR, but not as a function of SR-LE. The verbal response time (VRT) and the response speech rate (RSR) of the listeners’ responses were measured using an ASR. The participants with hearing impairment showed significantly lower RSRs and higher VRTs compared to the participants with normal hearing. These differences may be attributed to differences in age, hearing, or both. With increasing SR-LE, VRT increased and RSR decreased. The results show the possibility of deriving a behavioral measure, VRT, measured directly from participants’ verbal responses during speech audiometry, as a proxy for SR-LE.

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Clinical utility of response time in speech audiometry in elderly with mild cognitive impairment

Cited by 3 publications

References 27 publications

Cognitive Hearing Science: Clinical Implications in Audiology

Cognitive Hearing Science: Clinical Implications in Audiology

Acoustic reflexes: should we be paying more attention?

Automated Measurement of Speech Recognition, Reaction Time, and Speech Rate and Their Relation to Self-Reported Listening Effort for Normal-Hearing and Hearing-Impaired Listeners Using various Maskers

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