Artificial intelligence, speech, and language processing approaches to monitoring Alzheimer's disease: a systematic review
S De la Fuente Garcia, CW Ritchie… - Journal of Alzheimer's …, 2020 - content.iospress.com
Background: Language is a valuable source of clinical information in Alzheimer's disease,
as it declines concurrently with neurodegeneration. Consequently, speech and language …
as it declines concurrently with neurodegeneration. Consequently, speech and language …
[HTML][HTML] Applications of artificial intelligence to aid early detection of dementia: a scoping review on current capabilities and future directions
Abstract Background & Objective With populations aging, the number of people with
dementia worldwide is expected to triple to 152 million by 2050. Seventy percent of cases …
dementia worldwide is expected to triple to 152 million by 2050. Seventy percent of cases …
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 …
Detecting cognitive decline using speech only: The adresso challenge
Building on the success of the ADReSS Challenge at Interspeech 2020, which attracted the
participation of 34 teams from across the world, the ADReSSo Challenge targets three …
participation of 34 teams from across the world, the ADReSSo Challenge targets three …
A federated learning based privacy-preserving smart healthcare system
The rapid development of the smart healthcare system makes the early-stage detection of
dementia disease more user-friendly and affordable. However, the main concern is the …
dementia disease more user-friendly and affordable. However, the main concern is the …
An assessment of paralinguistic acoustic features for detection of Alzheimer's dementia in spontaneous speech
Speech analysis could provide an indicator of Alzheimer's disease and help develop clinical
tools for automatically detecting and monitoring disease progression. While previous studies …
tools for automatically detecting and monitoring disease progression. While previous studies …
An exploration of log-mel spectrogram and MFCC features for Alzheimer's dementia recognition from spontaneous speech
A Meghanani, CS Anoop… - 2021 IEEE spoken …, 2021 - ieeexplore.ieee.org
In this work, we explore the effectiveness of log-Mel spectrogram and MFCC features for
Alzheimer's dementia (AD) recognition on ADReSS challenge dataset. We use three …
Alzheimer's dementia (AD) recognition on ADReSS challenge dataset. We use three …
[PDF][PDF] Automated Screening for Alzheimer's Dementia Through Spontaneous Speech.
Dementia is a neurodegenerative disease that leads to cognitive and (eventually) physical
impairments. Individuals who are affected by dementia experience deterioration in their …
impairments. Individuals who are affected by dementia experience deterioration in their …
Multimodal inductive transfer learning for detection of Alzheimer's dementia and its severity
Alzheimer's disease is estimated to affect around 50 million people worldwide and is rising
rapidly, with a global economic burden of nearly a trillion dollars. This calls for scalable, cost …
rapidly, with a global economic burden of nearly a trillion dollars. This calls for scalable, cost …
[PDF][PDF] Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic-and BERT-Based Alzheimer's Dementia Detection Through Spontaneous …
Exploring acoustic and linguistic information embedded in spontaneous speech recordings
has proven to be efficient for automatic Alzheimer's dementia detection. Acoustic features …
has proven to be efficient for automatic Alzheimer's dementia detection. Acoustic features …