Voice disorder identification by using machine learning techniques

L Verde, G De Pietro, G Sannino - IEEE access, 2018 - ieeexplore.ieee.org
Nowadays, the use of mobile devices in the healthcare sector is increasing significantly.
Mobile technologies offer not only forms of communication for multimedia content (eg clinical …

Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures

G Costantini, C Robotti, M Benazzo… - Knowledge-Based …, 2022 - Elsevier
Alongside the currently used nasal swab testing, the COVID-19 pandemic situation would
gain noticeable advantages from low-cost tests that are available at any-time, anywhere, at a …

Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities

M Parsapoor, MR Alam, A Mihailidis - BMC Medical Informatics and …, 2023 - Springer
Objectives Automatic speech and language assessment methods (SLAMs) can help
clinicians assess speech and language impairments associated with dementia in older …

Leveraging artificial intelligence to improve voice disorder identification through the use of a reliable mobile app

L Verde, G De Pietro, M Alrashoud, A Ghoneim… - IEEE …, 2019 - ieeexplore.ieee.org
The evolution of the Internet of Things, cloud computing and wireless communication has
contributed to an advance in the interconnectivity, efficiency and data accessibility in smart …

Feature selection for spontaneous speech analysis to aid in Alzheimer's disease diagnosis: A fractal dimension approach

K López-de-Ipiña, J Solé-Casals, H Eguiraun… - Computer Speech & …, 2015 - Elsevier
Alzheimer's disease (AD) is the most prevalent form of degenerative dementia; it has a high
socio-economic impact in Western countries. The purpose of our project is to contribute to …

[PDF][PDF] Meta-analysis of voice disorders databases and applied machine learning techniques

SA Syed, M Rashid, S Hussain - Math Biosci Eng, 2020 - researchgate.net
Background and Objective: Voice disorders are pathological conditions that directly affect
voice production. Computer based diagnosis may play a major role in the early detection …

[HTML][HTML] Voice disorder detection using machine learning algorithms: An application in speech and language pathology

MU Rehman, A Shafique, SS Jamal, Y Gheraibia… - … Applications of Artificial …, 2024 - Elsevier
The healthcare industry is currently seeing a significant rise in the use of mobile devices.
These devices not only provide ways for communication and sharing of multimedia …

[PDF][PDF] An improved GMM-SVM system based on distance metric for voice pathology detection

F Amara, M Fezari, H Bourouba - Appl. Math, 2016 - researchgate.net
As acoustic signal generated from vocal folds is directly affected by vocal tract pathologies, it
can be an effective tool for diagnosis purpose. In this work, we present an efficient method …

[PDF][PDF] Assessment of severe apnoea through voice analysis, automatic speech, and speaker recognition techniques

R Fernández Pozo, JL Blanco Murillo… - EURASIP Journal on …, 2009 - Springer
This study is part of an ongoing collaborative effort between the medical and the signal
processing communities to promote research on applying standard Automatic Speech …

Towards developing a voice pathologies detection system

IMM El Emary, M Fezari, F Amara - Journal of Communications …, 2014 - Springer
Most voice features used in predicting the voice when a person has voted with instability in
the vocal fold vibration cause problems in estimating such period; as a result of this …