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 …
Exploring language-agnostic speech representations using domain knowledge for detecting alzheimer's dementia
We explore ways to use speech data to screen for indications of Alzheimer's dementia (AD).
In particular, we describe our approach to the ICASSP 2023 Signal Processing Grand …
In particular, we describe our approach to the ICASSP 2023 Signal Processing Grand …
Detecting Alzheimer's disease from continuous speech using language models
Z Guo, Z Ling, Y Li - Journal of Alzheimer's Disease, 2019 - content.iospress.com
Background: Recently, many studies have been carried out to detect Alzheimer's disease
(AD) from continuous speech by linguistic analysis and modeling. However, few of them …
(AD) from continuous speech by linguistic analysis and modeling. However, few of them …
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 …
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 …
[PDF][PDF] Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios.
In this study, we analyze the use of speech and speaker recognition technologies and
natural language processing to detect Alzheimer disease (AD) and estimate mini-mental …
natural language processing to detect Alzheimer disease (AD) and estimate mini-mental …
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 …
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 …
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 …
[PDF][PDF] Deep Learning Approaches for Detecting Alzheimer's Dementia from Conversational Speech of ILSE Study.
Automatic screening of Alzheimer's Dementia (AD) can have significant impact on society
and the well-being of the patients. Early detection of AD from spontaneous speech offers …
and the well-being of the patients. Early detection of AD from spontaneous speech offers …