[PDF][PDF] Automatic Speech Recognition of Disordered Speech: Personalized Models Outperforming Human Listeners on Short Phrases.

JR Green, RL MacDonald, PP Jiang, J Cattiau… - Interspeech, 2021 - researchgate.net
This study evaluated the accuracy of personalized automatic speech recognition (ASR) for
recognizing disordered speech from a large cohort of individuals with a wide range of …

The Detection of Dysarthria Severity Levels Using AI Models: A Review

A Al-Ali, S Al-Maadeed, M Saleh, RC Naidu… - IEEE …, 2024 - ieeexplore.ieee.org
Dysarthria, a speech disorder stemming from neurological conditions, affects communication
and life quality. Precise classification and severity assessment are pivotal for therapy but are …

Classification of dysarthria based on the levels of severity. a systematic review

A Al-Ali, S Al-Maadeed, M Saleh, RC Naidu… - arXiv preprint arXiv …, 2023 - arxiv.org
Dysarthria is a neurological speech disorder that can significantly impact affected
individuals' communication abilities and overall quality of life. The accurate and objective …

A hybrid model for pathological voice recognition of post-stroke dysarthria by using 1DCNN and double-LSTM networks

W Ye, Z Jiang, Q Li, Y Liu, Z Mou - Applied Acoustics, 2022 - Elsevier
Post-stroke dysarthria (PSD) is a common and persistent sequela of stroke. To assist
objective assessment of dysarthria, the pathological voice recognition technology has …

[HTML][HTML] Audio-video database from subacute stroke patients for dysarthric speech intelligence assessment and preliminary analysis

J Liu, X Du, S Lu, YM Zhang, HU An-ming… - … Signal Processing and …, 2023 - Elsevier
Early, objective, and accurate assessment and identification of dysarthria caused by
neurological diseases are essential in neurorehabilitation. This could be achieved by a …

The combination of accent method and phonemic contrast: an innovative strategy to improve speech production on post-stroke dysarthria

S Ge, Q Wan, Y Wang, M Yin, Z Huang - Frontiers in Human …, 2024 - frontiersin.org
Introduction Speech production includes segmental and suprasegmental features, which
interact and cooperate with each other. Impaired speech production is common in …

[HTML][HTML] Effects of Conventional Speech Therapy with Liuzijue Qigong, a Traditional Chinese Method of Breath Training, in 70 Patients with Post-Stroke Spastic …

J Xia, S Pei, Z Chen, L Wang, J Hu… - Medical science monitor …, 2023 - ncbi.nlm.nih.gov
Background Post-stroke spastic dysarthria (PSSD) is a motor speech impairment that
impacts patient communication and quality of life. Liuzijue Qigong (LQG), a traditional …

Telerehabilitation technology

V Klamroth-Marganska, S Giovanoli… - Neurorehabilitation …, 2022 - Springer
Due to physical and cognitive deficits, it is often difficult and costly for individuals who have
suffered a stroke to access on-site neurorehabilitation. Telerehabilitation offers the …

Impact of Interprofessional Collaborative Practice on Functional Improvements Among Post-Acute Stroke Survivors: A Retrospective Cross-Sectional Study

TP Chen, YJ Lin, YL Wang, LM Wu… - Journal of …, 2024 - Taylor & Francis
Background Stroke survivors in post-acute care frequently experience physiological
dysfunction and reduced quality of life. This study aims to assess the impact of the Post …

Digital tool as speech and language therapy for patients with post-stroke aphasia

G Ruiz Ares, M Martin Alonso, R Rigual… - Digital …, 2025 - journals.sagepub.com
Introduction New technologies could play a role in post-stroke aphasia (PSA). Our aims
were to develop a digital tool; to evaluate its acceptance and usability by patients and …