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 …

[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 …

[PDF][PDF] Automated Screening for Alzheimer's Dementia Through Spontaneous Speech.

MSS Syed, ZS Syed, M Lech, E Pirogova - Interspeech, 2020 - researchgate.net
Dementia is a neurodegenerative disease that leads to cognitive and (eventually) physical
impairments. Individuals who are affected by dementia experience deterioration in their …

An automatic Alzheimer's disease classifier based on spontaneous spoken English

F Bertini, D Allevi, G Lutero, L Calzà… - Computer Speech & …, 2022 - Elsevier
Abstract According to the World Health Organization, the number of people suffering from
dementia worldwide will grow to 150 million by mid-century, and Alzheimer's disease is the …

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 …

[HTML][HTML] Temporal integration of text transcripts and acoustic features for Alzheimer's diagnosis based on spontaneous speech

M Martinc, F Haider, S Pollak, S Luz - Frontiers in Aging Neuroscience, 2021 - frontiersin.org
Background: Advances in machine learning (ML) technology have opened new avenues for
detection and monitoring of cognitive decline. In this study, a multimodal approach to …

[HTML][HTML] 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 …

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 …

An assessment of paralinguistic acoustic features for detection of Alzheimer's dementia in spontaneous speech

F Haider, S De La Fuente, S Luz - IEEE Journal of Selected …, 2019 - ieeexplore.ieee.org
Speech analysis could provide an indicator of Alzheimer's disease and help develop clinical
tools for automatically detecting and monitoring disease progression. While previous studies …

[HTML][HTML] 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 …