Guess what we can hear—novel voice biomarkers for the remote detection of disease

JDS Sara, D Orbelo, E Maor, LO Lerman… - Mayo Clinic …, 2023 - Elsevier
The advancement of digital biomarkers and the provision of remote health care greatly
progressed during the coronavirus disease 2019 global pandemic. Combining voice/speech …

A comparative analysis of speech signal processing algorithms for Parkinson's disease classification and the use of the tunable Q-factor wavelet transform

CO Sakar, G Serbes, A Gunduz, HC Tunc, H Nizam… - Applied Soft …, 2019 - Elsevier
In recent years, there has been increasing interest in the development of telediagnosis and
telemonitoring systems for Parkinson's disease (PD) based on measuring the motor system …

Deep learning-based Parkinson's disease classification using vocal feature sets

H Gunduz - Ieee access, 2019 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a progressive neurodegenerative disease with multiple motor
and non-motor characteristics. PD patients commonly face vocal impairments during the …

On the design of automatic voice condition analysis systems. Part I: Review of concepts and an insight to the state of the art

JA Gómez-García, L Moro-Velázquez… - … Signal Processing and …, 2019 - Elsevier
This is the first of a two-part series devoted to review the current state of the art of automatic
voice condition analysis systems. The goal of this paper is to provide to the scientific …

Detection of pathological voice using cepstrum vectors: A deep learning approach

SH Fang, Y Tsao, MJ Hsiao, JY Chen, YH Lai, FC Lin… - Journal of Voice, 2019 - Elsevier
Objectives Computerized detection of voice disorders has attracted considerable academic
and clinical interest in the hope of providing an effective screening method for voice …

Novel speech signal processing algorithms for high-accuracy classification of Parkinson's disease

A Tsanas, MA Little, PE McSharry… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
There has been considerable recent research into the connection between Parkinson's
disease (PD) and speech impairment. Recently, a wide range of speech signal processing …

Automated dysarthria severity classification: A study on acoustic features and deep learning techniques

AA Joshy, R Rajan - IEEE Transactions on Neural Systems and …, 2022 - ieeexplore.ieee.org
Assessing the severity level of dysarthria can provide an insight into the patient's
improvement, assist pathologists to plan therapy, and aid automatic dysarthric speech …

Cloud-supported cyber–physical localization framework for patients monitoring

MS Hossain - IEEE Systems Journal, 2015 - ieeexplore.ieee.org
The potential of cloud-supported cyber-physical systems (CCPSs) has drawn a great deal of
interest from academia and industry. CCPSs facilitate the seamless integration of devices in …

Voice pathology detection using deep learning on mobile healthcare framework

M Alhussein, G Muhammad - IEEE Access, 2018 - ieeexplore.ieee.org
The feasibility and popularity of mobile healthcare are currently increasing. The
advancement of modern technologies, such as wireless communication, data processing …

A survey of voice pathology surveillance systems based on internet of things and machine learning algorithms

FT Al-Dhief, NMA Latiff, NNNA Malik, NS Salim… - IEEE …, 2020 - ieeexplore.ieee.org
The incorporation of the cloud technology with the Internet of Things (IoT) is significant in
order to obtain better performance for a seamless, continuous, and ubiquitous framework …