Dementia, a prevalent disorder of the brain, has negative effects on individuals and society.
This paper concerns using Spontaneous Speech (ADReSS) Challenge of Interspeech 2020 …

Alzheimer's disease (AD) is a neurodegenerative syndrome which affects tens of millions of
elders worldwide. Although there is no treatment currently available, early recognition can …

Dementia is a neurodegenerative disease that leads to cognitive and (eventually) physical
impairments. Individuals who are affected by dementia experience deterioration in their …

Current methods for early diagnosis of Alzheimer's Dementia include structured
questionnaires, structured interviews, and various cognitive tests. Language difficulties are a …

With the increasing prevalence of Alzheimer's disease (AD), it is important to develop
detectable biomarkers to reliably identify AD in the early stage. Language deficit is one of …

This pilot study evaluates the ability of machined learned algorithms to assist with the
differential diagnosis of dementia subtypes based on brief (< 10 min) spontaneous speech …

Alzheimer's Dementia (AD) is an incurable, debilitating, and progressive neurodegenerative
condition that affects cognitive function. Early diagnosis is important as therapeutics can …

In this paper, we combined linguistic complexity and (dis) fluency features with pretrained
language models for the task of Alzheimer's disease detection of the 2021 ADReSSo …

Alzheimer's disease is a fatal progressive brain disorder that worsens with time. It is high
time we have inexpensive and quick clinical diagnostic techniques for early detection and …

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 …