The Application of Artificial Intelligence in Alzheimer's Research
Q Zhao, H Xu, J Li, FA Rajput… - Tsinghua Science and …, 2023 - ieeexplore.ieee.org
Alzheimer's disease (AD) is an irreversible and neurodegenerative disease that slowly
impairs memory and neurocognitive function, but the etiology of AD is still unclear. With the …
impairs memory and neurocognitive function, but the etiology of AD is still unclear. With the …
Conformer based elderly speech recognition system for Alzheimer's disease detection
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care to delay
further progression. This paper presents the development of a state-of-the-art Conformer …
further progression. This paper presents the development of a state-of-the-art Conformer …
Development of the cuhk elderly speech recognition system for neurocognitive disorder detection using the dementiabank corpus
Early diagnosis of Neurocognitive Disorder (NCD) is crucial in facilitating preventive care
and timely treatment to delay further progression. This paper presents the development of a …
and timely treatment to delay further progression. This paper presents the development of a …
Self-supervised asr models and features for dysarthric and elderly speech recognition
Self-supervised learning (SSL) based speech foundation models have been applied to a
wide range of ASR tasks. However, their application to dysarthric and elderly speech via …
wide range of ASR tasks. However, their application to dysarthric and elderly speech via …
[PDF][PDF] Integrated and enhanced pipeline system to support spoken language analytics for screening neurocognitive disorders
This paper presents an enhanced pipeline system for automated screening of
neurocognitive disorders, eg Alzheimer's Disease (AD), using spoken language …
neurocognitive disorders, eg Alzheimer's Disease (AD), using spoken language …
TalkTive: a conversational agent using backchannels to engage older adults in neurocognitive disorders screening
Conversational agents (CAs) have the great potential in mitigating the clinicians' burden in
screening for neurocognitive disorders among older adults. It is important, therefore, to …
screening for neurocognitive disorders among older adults. It is important, therefore, to …
A Systematic Review of Alzheimer's disease detection based on speech and natural language processing
A Ševčík, M Rusko - 2022 32nd International Conference …, 2022 - ieeexplore.ieee.org
Objectives: The main goal of this review is to intro-duce the work with various conversational
datasets containing data from patients suffering from Alzheimer's disease. The basic …
datasets containing data from patients suffering from Alzheimer's disease. The basic …
Exploring linguistic feature and model combination for speech recognition based automatic ad detection
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care and
delay progression. Speech based automatic AD screening systems provide a non-intrusive …
delay progression. Speech based automatic AD screening systems provide a non-intrusive …
Leveraging pretrained representations with task-related keywords for alzheimer's disease detection
With the global population aging rapidly, Alzheimer's disease (AD) is particularly prominent
in older adults, which has an insidious onset and leads to a gradual, irreversible …
in older adults, which has an insidious onset and leads to a gradual, irreversible …
Detecting Wilson's disease from unstructured connected speech: An embedding-based approach augmented by attention and bi-directional dependency
Wilson's disease (WD) is a neurodegenerative genetic disorder in which dysarthria is the
initial neurological symptom. Automated WD diagnosis from speech is thus a promising and …
initial neurological symptom. Automated WD diagnosis from speech is thus a promising and …