[HTML][HTML] Clinical Decision Support Using Speech Signal Analysis: Systematic Scoping Review of Neurological Disorders

U De Silva, S Madanian, S Olsen, JM Templeton… - Journal of Medical …, 2025 - jmir.org
Background Digital biomarkers are increasingly used in clinical decision support for various
health conditions. Speech features as digital biomarkers can offer insights into underlying …

Classification of ALS patients based on acoustic analysis of sustained vowel phonations

M Vashkevich, Y Rushkevich - Biomedical Signal Processing and Control, 2021 - Elsevier
Amyotrophic lateral sclerosis (ALS) is incurable neurological disorder with rapidly
progressive course. Common early symptoms of ALS are difficulty in swallowing and …

A review and classification of amyotrophic lateral sclerosis with speech as a biomarker

SM Shabber, M Bansal, K Radha - 2023 14th International …, 2023 - ieeexplore.ieee.org
Amyotrophic Lateral Sclerosis (ALS) is a motor system neurodegenerative disease that
affects speech impairment, spinal, respiratory and swallowing difficulties in patients. It has …

Voice based classification of patients with amyotrophic lateral sclerosis, Parkinson's disease and healthy controls with CNN-LSTM using transfer learning

J Mallela, A Illa, BN Suhas, S Udupa… - ICASSP 2020-2020 …, 2020 - ieeexplore.ieee.org
In this paper, we consider 2-class and 3-class classification problems for classifying patients
with Amyotrophic Lateral Sclerosis (ALS), Parkinson's Disease (PD), and Healthy Controls …

Bulbar ALS detection based on analysis of voice perturbation and vibrato

M Vashkevich, A Petrovsky… - 2019 Signal Processing …, 2019 - ieeexplore.ieee.org
On average the lack of biological markers causes a one year diagnostic delay to detect
amyotrophic lateral sclerosis (ALS). To improve the diagnostic process an automatic voice …

Disordered speech recognition considering low resources and abnormal articulation

Y Lin, J Dang, L Wang, S Li, C Ding - Speech Communication, 2023 - Elsevier
The success of automatic speech recognition (ASR) benefits a great number of healthy
people, but not people with disorders. The speech disordered may truly need support from …

Subspace-based learning for automatic dysarthric speech detection

P Janbakhshi, I Kodrasi… - IEEE Signal Processing …, 2020 - ieeexplore.ieee.org
To assist the clinical diagnosis and treatment of speech dysarthria, automatic dysarthric
speech detection techniques providing reliable and cost-effective assessment are …

AFM signal model for dysarthric speech classification using speech biomarkers

SM Shabber, EP Sumesh - Frontiers in Human Neuroscience, 2024 - frontiersin.org
Neurological disorders include various conditions affecting the brain, spinal cord, and
nervous system which results in reduced performance in different organs and muscles …

[PDF][PDF] Comparison of Speech Tasks and Recording Devices for Voice Based Automatic Classification of Healthy Subjects and Patients with Amyotrophic Lateral …

BN Suhas, D Patel, NR Koluguri, Y Belur, P Reddy… - …, 2019 - academia.edu
We consider the task of speech based automatic classification of patients with amyotrophic
lateral sclerosis (ALS) and healthy subjects. The role of different speech tasks and recording …

Super-Gaussianity of speech spectral coefficients as a potential biomarker for dysarthric speech detection

I Kodrasi, H Bourlard - ICASSP 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
Parkinson's disease (PD) and Amyotrophic Lateral Sclerosis (ALS) are progressive
neurodegenerative diseases which, among other symptoms, cause dysarthria of speech. To …