A speech recognition-based solution for the automatic detection of mild cognitive impairment from spontaneous speech
L Tóth, I Hoffmann, G Gosztolya… - Current Alzheimer …, 2018 - ingentaconnect.com
Background: Even today the reliable diagnosis of the prodromal stages of Alzheimer's
disease (AD) remains a great challenge. Our research focuses on the earliest detectable …
disease (AD) remains a great challenge. Our research focuses on the earliest detectable …
[PDF][PDF] Automatic detection of mild cognitive impairment from spontaneous speech using ASR
Abstract Mild Cognitive Impairment (MCI), sometimes regarded as a prodromal stage of
Alzheimer's disease, is a mental disorder that is difficult to diagnose. However, recent …
Alzheimer's disease, is a mental disorder that is difficult to diagnose. However, recent …
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 …
Advances on automatic speech analysis for early detection of Alzheimer disease: a non-linear multi-task approach
K Lopez-de-Ipina… - Current Alzheimer …, 2018 - ingentaconnect.com
Objective: Nowadays proper detection of cognitive impairment has become a challenge for
the scientific community. Alzheimer's Disease (AD), the most common cause of dementia …
the scientific community. Alzheimer's Disease (AD), the most common cause of dementia …
Linguistic features and automatic classifiers for identifying mild cognitive impairment and dementia
L Calzà, G Gagliardi, RR Favretti… - Computer Speech & …, 2021 - Elsevier
Almost 50 million people are living with dementia in 2018 worldwide, and the number will
double every 20 years. The effectiveness of existing pharmacologic treatments for the …
double every 20 years. The effectiveness of existing pharmacologic treatments for the …
Ten years of research on automatic voice and speech analysis of people with Alzheimer's disease and mild cognitive impairment: a systematic review article
I Martínez-Nicolás, TE Llorente… - Frontiers in …, 2021 - frontiersin.org
Background: The field of voice and speech analysis has become increasingly popular over
the last 10 years, and articles on its use in detecting neurodegenerative diseases have …
the last 10 years, and articles on its use in detecting neurodegenerative diseases have …
[HTML][HTML] Automatic speech analysis for the assessment of patients with predementia and Alzheimer's disease
Background To evaluate the interest of using automatic speech analyses for the assessment
of mild cognitive impairment (MCI) and early-stage Alzheimer's disease (AD). Methods …
of mild cognitive impairment (MCI) and early-stage Alzheimer's disease (AD). Methods …
[HTML][HTML] Discriminating speech traits of Alzheimer's disease assessed through a corpus of reading task for Spanish language
O Ivanova, JJG Meilán, F Martínez-Sánchez… - Computer Speech & …, 2022 - Elsevier
It is estimated that between 50% and 75% of all cases of dementia are due to Alzheimer's
disease (AD), the most common neurodegenerative disease among World population …
disease (AD), the most common neurodegenerative disease among World population …
Using digital speech assessments to detect early signs of cognitive impairment
Detecting early signs of cognitive decline is crucial for early detection and treatment of
Alzheimer's Disease. Most of the current screening tools for Alzheimer's Disease represent a …
Alzheimer's Disease. Most of the current screening tools for Alzheimer's Disease represent a …
Use of speech analyses within a mobile application for the assessment of cognitive impairment in elderly people
A Konig, A Satt, A Sorin, R Hoory… - Current Alzheimer …, 2018 - ingentaconnect.com
Background: Various types of dementia and Mild Cognitive Impairment (MCI) are manifested
as irregularities in human speech and language, which have proven to be strong predictors …
as irregularities in human speech and language, which have proven to be strong predictors …
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