Cross-lingual detection of mild cognitive impairment based on temporal parameters of spontaneous speech

G Gosztolya, R Balogh, N Imre, JV Egas-Lopez… - Computer Speech & …, 2021 - Elsevier
Abstract Mild Cognitive Impairment (MCI) is a heterogeneous clinical syndrome, often
considered as the prodromal stage of dementia. It is characterized by the subtle …

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 …

[PDF][PDF] Detecting mild cognitive impairment by exploiting linguistic information from transcripts

V Vincze, G Gosztolya, L Tóth, I Hoffmann… - Proceedings of the …, 2016 - aclanthology.org
Here we seek to automatically identify Hungarian patients suffering from mild cognitive
impairment (MCI) based on linguistic features collected from their speech transcripts. Our …

Automatic screening of mild cognitive impairment and Alzheimer's disease by means of posterior-thresholding hesitation representation

JV Egas-López, R Balogh, N Imre, I Hoffmann… - Computer Speech & …, 2022 - Elsevier
Dementia is a chronic or progressive clinical syndrome, characterized by the deterioration of
problem-solving skills, memory and language. In Mild Cognitive Impairment (MCI), which is …

[PDF][PDF] Automatic detection of mild cognitive impairment from spontaneous speech using ASR

L Tóth, G Gosztolya, V Vincze, I Hoffmann, G Szatlóczki - 2015 - real.mtak.hu
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 …

Temporal speech parameters detect mild cognitive impairment in different languages: validation and comparison of the Speech-GAP Test® in English and Hungarian

J Kálmán, DP Devanand, G Gosztolya… - Current Alzheimer …, 2022 - ingentaconnect.com
Background: The development of automatic speech recognition (ASR) technology allows the
analysis of temporal (time-based) speech parameters characteristic of mild cognitive …

Linguistic parameters of spontaneous speech for identifying mild cognitive impairment and Alzheimer disease

V Vincze, MK Szabó, I Hoffmann, L Tóth… - Computational …, 2022 - direct.mit.edu
In this article, we seek to automatically identify Hungarian patients suffering from mild
cognitive impairment (MCI) or mild Alzheimer disease (mAD) based on their speech …

Linguistic biomarkers for the detection of Mild Cognitive Impairment

G Gagliardi, F Tamburini - Lingue e linguaggio, 2021 - rivisteweb.it
A timely diagnosis of the prodromal stages of dementia remains a big challenge for
healthcare systems: many assessment tools have been proposed over recent years, but the …

Identification of mild cognitive impairment among Chinese based on multiple spoken tasks

T Wang, Y Hong, Q Wang, R Su, ML Ng… - Journal of …, 2021 - content.iospress.com
Background: Previous studies explored the use of noninvasive biomarkers of speech and
language for the detection of mild cognitive impairment (MCI). Yet, most of them employed …

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 …