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 …
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 features and automatic classifiers for identifying mild cognitive impairment and dementia
L Calzà, G Gagliardi, RR Favretti… - Computer Speech & …, 2021 - Elsevier
Almost 50 million people are living with dementia in 2018 worldwide, and the number will
double every 20 years. The effectiveness of existing pharmacologic treatments for the …
double every 20 years. The effectiveness of existing pharmacologic treatments for the …
[PDF][PDF] Detecting mild cognitive impairment by exploiting linguistic information from transcripts
Here we seek to automatically identify Hungarian patients suffering from mild cognitive
impairment (MCI) based on linguistic features collected from their speech transcripts. Our …
impairment (MCI) based on linguistic features collected from their speech transcripts. Our …
Distinguishable features of spontaneous speech in Alzheimer's clinical syndrome and healthy controls
E Burke, J Gunstad, O Pavlenko… - Aging, Neuropsychology …, 2024 - Taylor & Francis
There is growing evidence that subtle changes in spontaneous speech may reflect early
pathological changes in cognitive function. Recent work has found that lexical-semantic …
pathological changes in cognitive function. Recent work has found that lexical-semantic …
Multi-modal fusion with gating using audio, lexical and disfluency features for Alzheimer's dementia recognition from spontaneous speech
This paper is a submission to the Alzheimer's Dementia Recognition through Spontaneous
Speech (ADReSS) challenge, which aims to develop methods that can assist in the …
Speech (ADReSS) challenge, which aims to develop methods that can assist in the …
Unveiling the sound of the cognitive status: Machine Learning-based speech analysis in the Alzheimer's disease spectrum
Background Advancement in screening tools accessible to the general population for the
early detection of Alzheimer's disease (AD) and prediction of its progression is essential for …
early detection of Alzheimer's disease (AD) and prediction of its progression is essential for …
Learning language and acoustic models for identifying Alzheimer's dementia from speech
Alzheimer's dementia (AD) is a chronic neurodegenerative illness that manifests in a
gradual decline of cognitive function. Early identification of AD is essential for managing the …
gradual decline of cognitive function. Early identification of AD is essential for managing the …
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 …
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 …
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