Voice pathology detection using interlaced derivative pattern on glottal source excitation

G Muhammad, M Alsulaiman, Z Ali, TA Mesallam… - … signal processing and …, 2017 - Elsevier
In this paper, we propose a voice pathology detection and classification method using an
interlaced derivative pattern (IDP), which involves an n-th order directional derivative, on a …

A survey on machine learning approaches for automatic detection of voice disorders

S Hegde, S Shetty, S Rai, T Dodderi - Journal of Voice, 2019 - Elsevier
The human voice production system is an intricate biological device capable of modulating
pitch and loudness. Inherent internal and/or external factors often damage the vocal folds …

Voice pathologies classification and detection using EMD-DWT analysis based on higher order statistic features

I Hammami, L Salhi, S Labidi - Irbm, 2020 - Elsevier
Background The voice is a prominent tool allowing people to communicate and to change
information in their daily activities. However, any slight alteration in the voice production …

A survey on signal processing based pathological voice detection techniques

R Islam, M Tarique, E Abdel-Raheem - IEEE Access, 2020 - ieeexplore.ieee.org
Voice disability is a barrier to effective communication. Around 1.2% of the World's
population is facing some form of voice disability. Surgical procedures namely laryngoscopy …

Pathological voice detection and binary classification using MPEG-7 audio features

G Muhammad, M Melhem - Biomedical Signal Processing and Control, 2014 - Elsevier
Objectives A pathological voice detection and classification method based on MPEG-7
audio low-level features is proposed in this paper. MPEG-7 features are originally used for …

Comparative analysis of CNN and RNN for voice pathology detection

SA Syed, M Rashid, S Hussain… - BioMed Research …, 2021 - Wiley Online Library
Diagnosis on the basis of a computerized acoustic examination may play an incredibly
important role in early diagnosis and in monitoring and even improving effective …

Voice activity detection based on multiple statistical models

JH Chang, NS Kim, SK Mitra - IEEE Transactions on Signal …, 2006 - ieeexplore.ieee.org
One of the key issues in practical speech processing is to achieve robust voice activity
detection (VAD) against the background noise. Most of the statistical model-based …

Monitoring Parkinson's disease in smart cities

M Alhussein - IEEE Access, 2017 - ieeexplore.ieee.org
Parkinson's Disease (PD) is one of the most severe neurological diseases prevalent in the
world. A neurodegenerative disease, it impairs the body's balance, damages motor skills …

An optimum algorithm in pathological voice quality assessment using wavelet-packet-based features, linear discriminant analysis and support vector machine

MK Arjmandi, M Pooyan - Biomedical signal processing and control, 2012 - Elsevier
Voice impairments, attention to increased unhealthy social behavior and voice abuse, have
been increasing dramatically. Therefore, diagnosis of voice diseases has an important role …

Glottal source information for pathological voice detection

NP Narendra, P Alku - IEEE Access, 2020 - ieeexplore.ieee.org
Automatic methods for the detection of pathological voice from healthy speech can be
considered as potential clinical tools for medical treatment. This study investigates the …