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 …

Identifying mild cognitive impairment and mild Alzheimer's disease based on spontaneous speech using ASR and linguistic features

G Gosztolya, V Vincze, L Tóth, M Pákáski… - Computer Speech & …, 2019 - Elsevier
Alzheimer's disease (AD) is a neurodegenerative disorder that develops for years before
clinical manifestation, while mild cognitive impairment is clinically considered as a …

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 …

[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 …

Distinguishable features of spontaneous speech in Alzheimer's clinical syndrome and healthy controls

E Burke, J Gunstad, O Pavlenko… - Aging, Neuropsychology …, 2024 - Taylor & Francis
There is growing evidence that subtle changes in spontaneous speech may reflect early
pathological changes in cognitive function. Recent work has found that lexical-semantic …

Multi-modal fusion with gating using audio, lexical and disfluency features for Alzheimer's dementia recognition from spontaneous speech

M Rohanian, J Hough, M Purver - arXiv preprint arXiv:2106.09668, 2021 - arxiv.org
This paper is a submission to the Alzheimer's Dementia Recognition through Spontaneous
Speech (ADReSS) challenge, which aims to develop methods that can assist in the …

Unveiling the sound of the cognitive status: Machine Learning-based speech analysis in the Alzheimer's disease spectrum

F García-Gutiérrez, M Alegret, M Marquié… - Alzheimer's Research & …, 2024 - Springer
Background Advancement in screening tools accessible to the general population for the
early detection of Alzheimer's disease (AD) and prediction of its progression is essential for …

Learning language and acoustic models for identifying Alzheimer's dementia from speech

Z Shah, J Sawalha, M Tasnim, S Qi… - Frontiers in Computer …, 2021 - frontiersin.org
Alzheimer's dementia (AD) is a chronic neurodegenerative illness that manifests in a
gradual decline of cognitive function. Early identification of AD is essential for managing the …

A mobile application using automatic speech analysis for classifying Alzheimer's disease and mild cognitive impairment

Y Yamada, K Shinkawa, M Nemoto, K Nemoto… - Computer Speech & …, 2023 - Elsevier
Speech and language disturbances have been observed from the early stages of
Alzheimer's disease (AD), including mild cognitive impairment (MCI), and speech analysis …

Computer-assisted speech analysis in mild cognitive impairment and Alzheimer's disease: a pilot study from Shanghai, China

Y Qiao, XY Xie, GZ Lin, Y Zou, SD Chen… - Journal of …, 2020 - content.iospress.com
Background: Language dysfunction is a frequently reported symptom in Alzheimer's disease
(AD). However, computer-assisted analysis of spontaneous speech in AD and mild cognitive …