Acoustic analysis of neurologically impaired speech

E Keller, P Vigneux… - International Journal of …, 1991 - Wiley Online Library
ABSTRACTS The acoustic phonetic analysis of neurogenically disordered speech permits
considerable insights into the detailed nature and possible origin of such disorders …

Automatic word naming recognition for an on-line aphasia treatment system

A Abad, A Pompili, A Costa, I Trancoso… - Computer Speech & …, 2013 - Elsevier
One of the most common effects among aphasia patients is the difficulty to recall names or
words. Typically, word retrieval problems can be treated through word naming therapeutic …

Reading and lexical–semantic retrieval tasks outperforms single task speech analysis in the screening of mild cognitive impairment and Alzheimer's disease

I Martínez-Nicolás, F Martínez-Sánchez, O Ivanova… - Scientific Reports, 2023 - nature.com
Age-related cognitive impairment have increased dramatically in recent years, which has
risen the interes in developing screening tools for mild cognitive impairment and Alzheimer's …

Validated automatic speech biomarkers in primary progressive aphasia

N Nevler, S Ash, DJ Irwin, M Liberman… - Annals of Clinical and …, 2019 - Wiley Online Library
Objective To automatically extract and quantify specific disease biomarkers of prosody from
the acoustic properties of speech in patients with primary progressive aphasia. Methods We …

Use of AAC to enhance linguistic communication skills in an adult with chronic severe aphasia

M Hough, RK Johnson - Aphasiology, 2009 - Taylor & Francis
Background: Individuals with non‐fluent aphasia (NA) exhibit sparse verbal output and
impaired word‐finding skills. For some, traditional speech‐language therapy aids in …

Speech processing for early Alzheimer disease diagnosis: machine learning based approach

RB Ammar, YB Ayed - 2018 IEEE/ACS 15th International …, 2018 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a neurodegenerative disease characterized by the insidious
onset of cognitive, emotional and language disorders. These attacks are sufficiently intense …

Improving detection of Alzheimer's Disease using automatic speech recognition to identify high-quality segments for more robust feature extraction

Y Pan, B Mirheidari, M Reuber… - … of Interspeech 2020, 2020 - eprints.whiterose.ac.uk
Speech and language based automatic dementia detection is of interest due to it being non-
invasive, low-cost and potentially able to aid diagnosis accuracy. The collected data are …

Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment …

A Yeung, A Iaboni, E Rochon, M Lavoie… - Alzheimer's research & …, 2021 - Springer
Background Language impairment is an important marker of neurodegenerative disorders.
Despite this, there is no universal system of terminology used to describe these impairments …

Outcome assessment in aphasia: A survey

N Simmons-Mackie, TT Threats, A Kagan - Journal of communication …, 2005 - Elsevier
There has been a marked increase in attention to the measurement of “outcomes” after
speech-language intervention for adult aphasia. Consumers, speech-language pathologists …

Detecting post-stroke aphasia using EEG-based neural envelope tracking of natural speech

P De Clercq, J Kries, R Mehraram… - arXiv preprint arXiv …, 2023 - arxiv.org
[Objective]. After a stroke, one-third of patients suffer from aphasia, a language disorder that
impairs communication ability. The standard behavioral tests used to diagnose aphasia are …