Speech disorders in Parkinson's disease: early diagnostics and effects of medication and brain stimulation

L Brabenec, J Mekyska, Z Galaz, I Rektorova - Journal of neural …, 2017 - Springer
Hypokinetic dysarthria (HD) occurs in 90% of Parkinson's disease (PD) patients. It manifests
specifically in the areas of articulation, phonation, prosody, speech fluency, and faciokinesis …

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 …

Reliable jitter and shimmer measurements in voice clinics: the relevance of vowel, gender, vocal intensity, and fundamental frequency effects in a typical clinical task

M Brockmann, MJ Drinnan, C Storck, PN Carding - Journal of voice, 2011 - Elsevier
The aims of this study were to examine vowel and gender effects on jitter and shimmer in a
typical clinical voice task while correcting for the confounding effects of voice sound …

Convergence of artificial intelligence and internet of things in smart healthcare: a case study of voice pathology detection

G Muhammad, M Alhussein - Ieee Access, 2021 - ieeexplore.ieee.org
The integration of artificial intelligence (AI) and the Internet of Things (IoT) has tremendous
prospects in smart healthcare. The advancement of AI in the form of deep learning brought a …

Detecting Parkinson's disease from sustained phonation and speech signals

E Vaiciukynas, A Verikas, A Gelzinis, M Bacauskiene - PloS one, 2017 - journals.plos.org
This study investigates signals from sustained phonation and text-dependent speech
modalities for Parkinson's disease screening. Phonation corresponds to the vowel/a/voicing …

An automatic health monitoring system for patients suffering from voice complications in smart cities

Z Ali, G Muhammad, MF Alhamid - Ieee Access, 2017 - ieeexplore.ieee.org
Current evolutions in the Internet of Things and cloud computing make it believable to build
smart cities and homes. Smart cities provide smart technologies to residents for the …

[HTML][HTML] The effect of the MFCC frame length in automatic voice pathology detection

S Tirronen, SR Kadiri, P Alku - Journal of Voice, 2024 - Elsevier
Automatic voice pathology detection is a research topic, which has gained increasing
interest recently. Although methods based on deep learning are becoming popular, the …

Robust and complex approach of pathological speech signal analysis

J Mekyska, E Janousova, P Gomez-Vilda, Z Smekal… - Neurocomputing, 2015 - Elsevier
This paper presents a study of the approaches in the state-of-the-art in the field of
pathological speech signal analysis with a special focus on parametrization techniques. It …

Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's Disease

L Moro-Velazquez, JA Gómez-García… - Applied Soft …, 2018 - Elsevier
The diagnosis of Parkinson's Disease is a challenging task which might be supported by
new tools to objectively evaluate the presence of deviations in patient's motor capabilities …

Voice pathology detection on the Saarbrücken voice database with calibration and fusion of scores using multifocal toolkit

D Martínez, E Lleida, A Ortega, A Miguel… - Advances in Speech and …, 2012 - Springer
The paper presents a set of experiments on pathological voice detection over the
Saarbrücken Voice Database (SVD) by using the MultiFocal toolkit for a discriminative …