인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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지원사업
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커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Purpose : Cognitive health affects production of speech as the speech production process relies on memory systems for word retrieval and sentence composition. This study aims to explore the relationship between temporal acoustic features of speech and cognitive decline.
Methods : Speech samples were collected from 32 elderly individuals at different stages of cognitive health and divided into three groups: normal cognitive ( n=13), mild cognitive impairment ( n=10), and dementia ( n=9). Mean age of population was 83 years. And speech samples were collected using two speech tasks: Picture description task, and Interview task. The samples were then analyzed using Praat to derive acoustic and suprasegmental parameters. Extracted variables were finally analyzed using one-way ANOVA to identify statistical significance of differences and connections between specific speech features and cognitive decline.
Results : The findings indicate that temporal feature changes are perceptible in the early stages of cognitive decline, especially articulation rate, speech rate, and filler duration. Acoustic features, on the other hand, did not show any significant connection to cognitive decline except for intensity (SPL [dB]). The results also show that the type of speech task affects the significance of the speech variable.
Conclusions : Speech suprasegmental parameters are detectable in the speech of cognitive decline, even in the early stages. Future studies should consider examining other speech characteristics related to semantics and their relationship with prosodic features and cognitive ability.
Methods : Speech samples were collected from 32 elderly individuals at different stages of cognitive health and divided into three groups: normal cognitive ( n=13), mild cognitive impairment ( n=10), and dementia ( n=9). Mean age of population was 83 years. And speech samples were collected using two speech tasks: Picture description task, and Interview task. The samples were then analyzed using Praat to derive acoustic and suprasegmental parameters. Extracted variables were finally analyzed using one-way ANOVA to identify statistical significance of differences and connections between specific speech features and cognitive decline.
Results : The findings indicate that temporal feature changes are perceptible in the early stages of cognitive decline, especially articulation rate, speech rate, and filler duration. Acoustic features, on the other hand, did not show any significant connection to cognitive decline except for intensity (SPL [dB]). The results also show that the type of speech task affects the significance of the speech variable.
Conclusions : Speech suprasegmental parameters are detectable in the speech of cognitive decline, even in the early stages. Future studies should consider examining other speech characteristics related to semantics and their relationship with prosodic features and cognitive ability.
본문·목차
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UCI(KEPA) : I410-151-25-02-092339340
