[HTML][HTML] Connected speech in neurodegenerative language disorders: a review

V Boschi, E Catricala, M Consonni, C Chesi… - Frontiers in …, 2017 - frontiersin.org
Language assessment has a crucial role in the clinical diagnosis of several
neurodegenerative diseases. The analysis of extended speech production is a precious …

[HTML][HTML] Speaking in Alzheimer's disease, is that an early sign? Importance of changes in language abilities in Alzheimer's disease

G Szatloczki, I Hoffmann, V Vincze, J Kalman… - Frontiers in aging …, 2015 - frontiersin.org
It is known that Alzheimer's disease (AD) influences the temporal characteristics of
spontaneous speech. These phonetical changes are present even in mild AD. Based on …

[HTML][HTML] Alzheimer's dementia recognition through spontaneous speech

S Luz, F Haider, S de la Fuente Garcia… - Frontiers in computer …, 2021 - frontiersin.org
The need for inexpensive, safe, accurate and non-invasive biomarkers for Alzheimer's
disease (AD) has motivated much current research (Mandell and Green, 2011). While …

Linguistic features identify Alzheimer's disease in narrative speech

KC Fraser, JA Meltzer… - Journal of Alzheimer's …, 2016 - content.iospress.com
Background: Although memory impairment is the main symptom of Alzheimer's disease
(AD), language impairment can be an important marker. Relatively few studies of language …

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 …

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 …

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 …

[HTML][HTML] Evaluation of speech-based digital biomarkers: review and recommendations

J Robin, JE Harrison, LD Kaufman, F Rudzicz… - Digital …, 2020 - karger.com
Speech represents a promising novel biomarker by providing a window into brain health, as
shown by its disruption in various neurological and psychiatric diseases. As with many novel …

A transdiagnostic review of negative symptom phenomenology and etiology

GP Strauss, AS Cohen - Schizophrenia bulletin, 2017 - academic.oup.com
In the DSM5, negative symptoms are 1 of the 5 core dimensions of psychopathology
evaluated for schizophrenia. However, negative symptoms are not pathognomonic—they …

[HTML][HTML] Transformer-based deep neural network language models for Alzheimer's disease risk assessment from targeted speech

A Roshanzamir, H Aghajan… - BMC Medical Informatics …, 2021 - Springer
Background We developed transformer-based deep learning models based on natural
language processing for early risk assessment of Alzheimer's disease from the picture …