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 …
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 …
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
L Ilias, D Askounis - Frontiers in Aging Neuroscience, 2022 - frontiersin.org
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 …
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 …
Detecting dementia from speech and transcripts using transformers
Alzheimer's disease (AD) constitutes a neurodegenerative disease with serious
consequences to peoples' everyday lives, if it is not diagnosed early since there is no …
consequences to peoples' everyday lives, if it is not diagnosed early since there is no …
Recognition of alzheimer's dementia from the transcriptions of spontaneous speech using fasttext and cnn models
A Meghanani, CS Anoop… - Frontiers in Computer …, 2021 - frontiersin.org
Alzheimer's dementia (AD) is a type of neurodegenerative disease that is associated with a
decline in memory. However, speech and language impairments are also common in …
decline in memory. However, speech and language impairments are also common in …
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 …