[PDF][PDF] Detecting mild cognitive impairment from spontaneous speech by correlation-based phonetic feature selection
Abstract Mild Cognitive Impairment (MCI), sometimes regarded as a prodromal stage of
Alzheimer's disease, is a mental disorder that is difficult to diagnose. Recent studies …
Alzheimer's disease, is a mental disorder that is difficult to diagnose. Recent studies …
[PDF][PDF] Automatic detection of mild cognitive impairment from spontaneous speech using ASR
Abstract Mild Cognitive Impairment (MCI), sometimes regarded as a prodromal stage of
Alzheimer's disease, is a mental disorder that is difficult to diagnose. However, recent …
Alzheimer's disease, is a mental disorder that is difficult to diagnose. However, recent …
Computer-assisted speech analysis in mild cognitive impairment and Alzheimer's disease: a pilot study from Shanghai, China
Y Qiao, XY Xie, GZ Lin, Y Zou, SD Chen… - Journal of …, 2020 - content.iospress.com
Background: Language dysfunction is a frequently reported symptom in Alzheimer's disease
(AD). However, computer-assisted analysis of spontaneous speech in AD and mild cognitive …
(AD). However, computer-assisted analysis of spontaneous speech in AD and mild cognitive …
A speech recognition-based solution for the automatic detection of mild cognitive impairment from spontaneous speech
L Tóth, I Hoffmann, G Gosztolya… - Current Alzheimer …, 2018 - ingentaconnect.com
Background: Even today the reliable diagnosis of the prodromal stages of Alzheimer's
disease (AD) remains a great challenge. Our research focuses on the earliest detectable …
disease (AD) remains a great challenge. Our research focuses on the earliest detectable …
Identifying mild cognitive impairment and mild Alzheimer's disease based on spontaneous speech using ASR and linguistic features
Alzheimer's disease (AD) is a neurodegenerative disorder that develops for years before
clinical manifestation, while mild cognitive impairment is clinically considered as a …
clinical manifestation, while mild cognitive impairment is clinically considered as a …
Linguistic parameters of spontaneous speech for identifying mild cognitive impairment and Alzheimer disease
In this article, we seek to automatically identify Hungarian patients suffering from mild
cognitive impairment (MCI) or mild Alzheimer disease (mAD) based on their speech …
cognitive impairment (MCI) or mild Alzheimer disease (mAD) based on their speech …
A mobile application using automatic speech analysis for classifying Alzheimer's disease and mild cognitive impairment
Speech and language disturbances have been observed from the early stages of
Alzheimer's disease (AD), including mild cognitive impairment (MCI), and speech analysis …
Alzheimer's disease (AD), including mild cognitive impairment (MCI), and speech analysis …
Identification of mild cognitive impairment among Chinese based on multiple spoken tasks
T Wang, Y Hong, Q Wang, R Su, ML Ng… - Journal of …, 2021 - content.iospress.com
Background: Previous studies explored the use of noninvasive biomarkers of speech and
language for the detection of mild cognitive impairment (MCI). Yet, most of them employed …
language for the detection of mild cognitive impairment (MCI). Yet, most of them employed …
Automatic screening of mild cognitive impairment and Alzheimer's disease by means of posterior-thresholding hesitation representation
JV Egas-López, R Balogh, N Imre, I Hoffmann… - Computer Speech & …, 2022 - Elsevier
Dementia is a chronic or progressive clinical syndrome, characterized by the deterioration of
problem-solving skills, memory and language. In Mild Cognitive Impairment (MCI), which is …
problem-solving skills, memory and language. In Mild Cognitive Impairment (MCI), which is …
[HTML][HTML] Using tablet-based assessment to characterize speech for individuals with dementia and mild cognitive impairment: preliminary results
AO Hall, K Shinkawa, A Kosugi, T Takase… - AMIA Summits on …, 2019 - ncbi.nlm.nih.gov
Early detection of dementia as well as improvement in diagnosis coverage has been
increasingly important. Previous studies involved extracting speech features during …
increasingly important. Previous studies involved extracting speech features during …