[HTML][HTML] Speech and language processing with deep learning for dementia diagnosis: A systematic review
M Shi, G Cheung, SR Shahamiri - Psychiatry Research, 2023 - Elsevier
Dementia is a progressive neurodegenerative disease that burdens the person living with
the disease, their families, and medical and social services. Timely diagnosis of dementia …
the disease, their families, and medical and social services. Timely diagnosis of dementia …
Noninvasive automatic detection of Alzheimer's disease from spontaneous speech: a review
X Qi, Q Zhou, J Dong, W Bao - Frontiers in Aging Neuroscience, 2023 - frontiersin.org
Alzheimer's disease (AD) is considered as one of the leading causes of death among
people over the age of 70 that is characterized by memory degradation and language …
people over the age of 70 that is characterized by memory degradation and language …
Multimodal fusion for alzheimer's disease recognition
Y Ying, T Yang, H Zhou - Applied Intelligence, 2023 - Springer
Alzheimer's disease (AD) is the most prevalent form of progressive degenerative dementia,
which has a great impact on social economics throughout the world. In the vast majority of …
which has a great impact on social economics throughout the world. In the vast majority of …
Pushing on personality detection from verbal behavior: A transformer meets text contours of psycholinguistic features
Research at the intersection of personality psychology, computer science, and linguistics
has recently focused increasingly on modeling and predicting personality from language …
has recently focused increasingly on modeling and predicting personality from language …
Alzheimer's dementia speech (audio vs. text): Multi-modal machine learning at high vs. low resolution
Automated techniques to detect Alzheimer's Dementia through the use of audio recordings
of spontaneous speech are now available with varying degrees of reliability. Here, we …
of spontaneous speech are now available with varying degrees of reliability. Here, we …
Automated classification of cognitive decline and probable alzheimer's dementia across multiple speech and language domains
Background: Decline in language has emerged as a new potential biomarker for the early
detection of Alzheimer's disease (AD). It remains unclear how sensitive language measures …
detection of Alzheimer's disease (AD). It remains unclear how sensitive language measures …
Early diagnosis of Alzheimer's Disease based on multi-attention mechanism
X Yang, K Hong, D Zhang, K Wang - Plos one, 2024 - journals.plos.org
Alzheimer's Disease is a neurodegenerative disorder, and one of its common and prominent
early symptoms is language impairment. Therefore, early diagnosis of Alzheimer's Disease …
early symptoms is language impairment. Therefore, early diagnosis of Alzheimer's Disease …
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 …
How you say it matters: Measuring the impact of verbal disfluency tags on automated dementia detection
Automatic speech recognition (ASR) systems usually incorporate postprocessing
mechanisms to remove disfluencies, facilitating the generation of clear, fluent transcripts that …
mechanisms to remove disfluencies, facilitating the generation of clear, fluent transcripts that …
Exploiting prompt learning with pre-trained language models for alzheimer's disease detection
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care and to
delay further progression. Speech based automatic AD screening systems provide a non …
delay further progression. Speech based automatic AD screening systems provide a non …