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Deep learning-based speech analysis for Alzheimer's disease detection: a literature review
Background Alzheimer's disease has become one of the most common neurodegenerative
diseases worldwide, which seriously affects the health of the elderly. Early detection and …
diseases worldwide, which seriously affects the health of the elderly. Early detection and …
[HTML][HTML] Dementia detection from speech using machine learning and deep learning architectures
Dementia affects the patient's memory and leads to language impairment. Research has
demonstrated that speech and language deterioration is often a clear indication of dementia …
demonstrated that speech and language deterioration is often a clear indication of dementia …
[HTML][HTML] Automatic depression detection using smartphone-based text-dependent speech signals: deep convolutional neural network approach
Background Automatic diagnosis of depression based on speech can complement mental
health treatment methods in the future. Previous studies have reported that acoustic …
health treatment methods in the future. Previous studies have reported that acoustic …
Language impairment in Alzheimer's disease—robust and explainable evidence for ad-related deterioration of spontaneous speech through multilingual machine …
Alzheimer's disease (AD) is a pervasive neurodegenerative disease that affects millions
worldwide and is most prominently associated with broad cognitive decline, including …
worldwide and is most prominently associated with broad cognitive decline, including …
ADscreen: A speech processing-based screening system for automatic identification of patients with Alzheimer's disease and related dementia
Alzheimer's disease and related dementias (ADRD) present a looming public health crisis,
affecting roughly 5 million people and 11% of older adults in the United States. Despite …
affecting roughly 5 million people and 11% of older adults in the United States. Despite …
MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds
Coronavirus has an impact on millions of lives and has been added to the important
pandemics that continue to affect with its variants. Since it is transmitted through the …
pandemics that continue to affect with its variants. Since it is transmitted through the …
Multimodal deep learning models for detecting dementia from speech and transcripts
Alzheimer's dementia (AD) entails negative psychological, social, and economic
consequences not only for the patients but also for their families, relatives, and society in …
consequences not only for the patients but also for their families, relatives, and society in …
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 …
Speech based detection of Alzheimer's disease: a survey of AI techniques, datasets and challenges
Alzheimer's disease (AD) is a growing global concern, exacerbated by an aging population
and the high costs associated with traditional detection methods. Recent research has …
and the high costs associated with traditional detection methods. Recent research has …
Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages
TM Kim, J Son, JW Chun, Y Lee, DJ Kim, IY Choi… - Computers in Biology …, 2024 - Elsevier
Abstract Background Detecting and analyzing Alzheimer's disease (AD) in its early stages is
a crucial and significant challenge. Speech data from AD patients can aid in diagnosing AD …
a crucial and significant challenge. Speech data from AD patients can aid in diagnosing AD …