Cross-lingual detection of mild cognitive impairment based on temporal parameters of spontaneous speech
Abstract Mild Cognitive Impairment (MCI) is a heterogeneous clinical syndrome, often
considered as the prodromal stage of dementia. It is characterized by the subtle …
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 …
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
Here we seek to automatically identify Hungarian patients suffering from mild cognitive
impairment (MCI) based on linguistic features collected from their speech transcripts. Our …
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 …
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
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 …
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 …
analysis of temporal (time-based) speech parameters characteristic of mild cognitive …
Linguistic parameters of spontaneous speech for identifying mild cognitive impairment and Alzheimer disease
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 …
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 …
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 …
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 …
double every 20 years. The effectiveness of existing pharmacologic treatments for the …