An automatic Alzheimer's disease classifier based on spontaneous spoken English
Abstract According to the World Health Organization, the number of people suffering from
dementia worldwide will grow to 150 million by mid-century, and Alzheimer's disease is the …
dementia worldwide will grow to 150 million by mid-century, and Alzheimer's disease is the …
Automatic speech classifier for mild cognitive impairment and early dementia
The World Health Organization estimates that 50 million people are currently living with
dementia worldwide and this figure will almost triple by 2050. Current pharmacological …
dementia worldwide and this figure will almost triple by 2050. Current pharmacological …
Identifying mild cognitive impairment and mild Alzheimer's disease based on spontaneous speech using ASR and linguistic features
Alzheimer's disease (AD) is a neurodegenerative disorder that develops for years before
clinical manifestation, while mild cognitive impairment is clinically considered as a …
clinical manifestation, while mild cognitive impairment is clinically considered as a …
Alzheimer's dementia recognition through spontaneous speech
The need for inexpensive, safe, accurate and non-invasive biomarkers for Alzheimer's
disease (AD) has motivated much current research (Mandell and Green, 2011). While …
disease (AD) has motivated much current research (Mandell and Green, 2011). While …
[PDF][PDF] Editorial: Alzheimer's dementia recognition through spontaneous speech
The need for inexpensive, safe, accurate and non-invasive biomarkers for Alzheimer's
disease (AD) has motivated much current research (Mandell and Green, 2011). While …
disease (AD) has motivated much current research (Mandell and Green, 2011). While …
[PDF][PDF] Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer's Dementia.
The paper describes a multimodal approach to the automated recognition of Alzheimer's
dementia in order to solve the ADReSS (Alzheimer's Dementia Recognition through …
dementia in order to solve the ADReSS (Alzheimer's Dementia Recognition through …
Multi-modal fusion with gating using audio, lexical and disfluency features for Alzheimer's dementia recognition from spontaneous speech
This paper is a submission to the Alzheimer's Dementia Recognition through Spontaneous
Speech (ADReSS) challenge, which aims to develop methods that can assist in the …
Speech (ADReSS) challenge, which aims to develop methods that can assist in the …
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 …
A prototype for the voice analysis diagnosis of Alzheimer's disease
F Martínez-Sánchez, JJG Meilán… - Journal of …, 2018 - content.iospress.com
Background: Speech variations enable us to map the performance of cognitive processes of
syntactic, semantic, phonological, and articulatory planning and execution. Speaking is one …
syntactic, semantic, phonological, and articulatory planning and execution. Speaking is one …
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 …