A systematic review on machine learning techniques for early detection of mental, neurological and laryngeal disorders using patient's speech

M Sayadi, V Varadarajan, M Langarizadeh, G Bayazian… - Electronics, 2022 - mdpi.com
There is a substantial unmet need to diagnose speech-related disorders effectively. Machine
learning (ML), as an area of artificial intelligence (AI), enables researchers, physicians, and …

Automatic assessment of aphasic speech sensed by audio sensors for classification into aphasia severity levels to recommend speech therapies

HMDPM Herath, WASA Weraniyagoda… - Sensors, 2022 - mdpi.com
Aphasia is a type of speech disorder that can cause speech defects in a person. Identifying
the severity level of the aphasia patient is critical for the rehabilitation process. In this …

A Systematic Review of Using Deep Learning in Aphasia: Challenges and Future Directions

Y Wang, W Cheng, F Sufi, Q Fang, SS Mahmoud - Computers, 2024 - mdpi.com
In this systematic literature review, the intersection of deep learning applications within the
aphasia domain is meticulously explored, acknowledging the condition's complex nature …

A survey of technologies facilitating home and community-based stroke rehabilitation

X Sun, J Ding, Y Dong, X Ma, R Wang… - … Journal of Human …, 2023 - Taylor & Francis
Stroke is a cardiovascular and cerebrovascular disease that affects the aged population at a
high rate. Patients' functional disabilities can be reduced with effective rehabilitation training …

GTSO: Gradient tangent search optimization enabled voice transformer with speech intelligibility for aphasia

R Ranjith, A Chandrasekar - Computer Speech & Language, 2024 - Elsevier
A frequent neurological condition known as aphasia is brought on by injury to language-
related brain regions as well as possibly other regions of the brain involved in executive …

[HTML][HTML] Discourse-and lesion-based aphasia quotient estimation using machine learning

N Riccardi, S Nelakuditi, DB den Ouden, C Rorden… - NeuroImage: Clinical, 2024 - Elsevier
Discourse is a fundamentally important aspect of communication, and discourse production
provides a wealth of information about linguistic ability. Aphasia commonly affects, in …

Prototyping Mobile Storytelling Applications for People with Aphasia

K Szklanny, M Wichrowski, A Wieczorkowska - Sensors, 2021 - mdpi.com
Aphasia is a partial or total loss of the ability to articulate ideas or comprehend spoken
language, resulting from brain damage, in a person whose language skills were previously …

[HTML][HTML] What have we learned from aphasias in the 21st century? Neuroanatomical, cognitive, and diagnostic implications of the ventral language stream

A Fernández-Del Olmo, MI Medina-Valera - Neurology Perspectives, 2022 - Elsevier
Introduction Our understanding of the neural basis of language has grown enormously over
the last 2 decades. However, the classical anatomical-lesional model of aphasias, which …

Evaluating fluency in aphasia: Fluency scales, trichotomous judgements, or machine learning

J Metu, V Kotha, AE Hillis - Aphasiology, 2024 - Taylor & Francis
ABSTRACT Background Speech-language pathologists (SLPs) and other clinicians often
use aphasia batteries, such as the Western Aphasia Battery-Revised (WAB-R), to evaluate …

[HTML][HTML] A Telemedicine Platform for Aphasia: Protocol for a Development and Usability Study

M Nunes, AS Teles, D Farias, C Diniz… - JMIR Research …, 2022 - researchprotocols.org
Background: Aphasia is a central disorder of comprehension and expression of language
that cannot be attributed to a peripheral sensory deficit or a peripheral motor disorder. The …