[HTML][HTML] 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] Acoustic and language based deep learning approaches for Alzheimer's dementia detection from spontaneous speech
Current methods for early diagnosis of Alzheimer's Dementia include structured
questionnaires, structured interviews, and various cognitive tests. Language difficulties are a …
questionnaires, structured interviews, and various cognitive tests. Language difficulties are a …
[HTML][HTML] 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 …
[HTML][HTML] Classifying Alzheimer's disease using audio and text-based representations of speech
R Haulcy, J Glass - Frontiers in Psychology, 2021 - frontiersin.org
Alzheimer's Disease (AD) is a form of dementia that affects the memory, cognition, and motor
skills of patients. Extensive research has been done to develop accessible, cost-effective …
skills of patients. Extensive research has been done to develop accessible, cost-effective …
[HTML][HTML] Comparing pre-trained and feature-based models for prediction of Alzheimer's disease based on speech
Introduction: Research related to the automatic detection of Alzheimer's disease (AD) is
important, given the high prevalence of AD and the high cost of traditional diagnostic …
important, given the high prevalence of AD and the high cost of traditional diagnostic …
[HTML][HTML] Detection of dementia on voice recordings using deep learning: a Framingham Heart Study
Background Identification of reliable, affordable, and easy-to-use strategies for detection of
dementia is sorely needed. Digital technologies, such as individual voice recordings, offer …
dementia is sorely needed. Digital technologies, such as individual voice recordings, offer …
[PDF][PDF] Modular Multi-Modal Attention Network for Alzheimer's Disease Detection Using Patient Audio and Language Data.
In this work, we propose a modular multi-modal architecture to automatically detect
Alzheimer's disease using the dataset provided in the ADReSSo challenge. Both acoustic …
Alzheimer's disease using the dataset provided in the ADReSSo challenge. Both acoustic …
[HTML][HTML] Speech-and language-based classification of Alzheimer's disease: a systematic review
I Vigo, L Coelho, S Reis - Bioengineering, 2022 - mdpi.com
Background: Alzheimer's disease (AD) has paramount importance due to its rising
prevalence, the impact on the patient and society, and the related healthcare costs …
prevalence, the impact on the patient and society, and the related healthcare costs …
[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 …
[HTML][HTML] A transfer learning method for detecting Alzheimer's disease based on speech and natural language processing
N Liu, K Luo, Z Yuan, Y Chen - Frontiers in Public Health, 2022 - frontiersin.org
Alzheimer's disease (AD) is a neurodegenerative disease that is difficult to be detected
using convenient and reliable methods. The language change in patients with AD is an …
using convenient and reliable methods. The language change in patients with AD is an …