[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 …

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 …

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 …

Automatic identification of mild cognitive impairment through the analysis of Italian spontaneous speech productions

D Beltrami, L Calzà, G Gagliardi… - Proceedings of the …, 2016 - aclanthology.org
This paper presents some preliminary results of the OPLON project. It aimed at identifying
early linguistic symptoms of cognitive decline in the elderly. This pilot study was conducted …

[PDF][PDF] Detecting mild cognitive impairment from spontaneous speech by correlation-based phonetic feature selection

G Gosztolya, L Tóth, T Grósz, V Vincze, I Hoffmann… - 2016 - inf.u-szeged.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. Recent studies …

[HTML][HTML] Multilingual word embeddings for the assessment of narrative speech in mild cognitive impairment

KC Fraser, KL Fors, D Kokkinakis - Computer Speech & Language, 2019 - Elsevier
We analyze the information content of narrative speech samples from individuals with mild
cognitive impairment (MCI), in both English and Swedish, using a combination of supervised …

Enriching complex networks with word embeddings for detecting mild cognitive impairment from speech transcripts

LB Santos, EA Corrêa Jr, ON Oliveira Jr… - arXiv preprint arXiv …, 2017 - arxiv.org
Mild Cognitive Impairment (MCI) is a mental disorder difficult to diagnose. Linguistic
features, mainly from parsers, have been used to detect MCI, but this is not suitable for large …

An evaluation of measures to dissociate language and communication disorders from healthy controls using machine learning techniques

J Gaspers, K Thiele, P Cimiano, A Foltz… - Proceedings of the 2nd …, 2012 - dl.acm.org
Reliably distinguishing patients with verbal impairment due to brain damage, eg aphasia,
cognitive communication disorder (CCD), from healthy subjects is an important challenge in …

Spoken language derived measures for detecting mild cognitive impairment

B Roark, M Mitchell, JP Hosom… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
Spoken responses produced by subjects during neuropsychological exams can provide
diagnostic markers beyond exam performance. In particular, characteristics of the spoken …

A review of automated speech and language features for assessment of cognitive and thought disorders

R Voleti, JM Liss, V Berisha - IEEE journal of selected topics in …, 2019 - ieeexplore.ieee.org
It is widely accepted that information derived from analyzing speech (the acoustic signal)
and language production (words and sentences) serves as a useful window into the health …