Advances in Parkinson's disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects

L Moro-Velazquez, JA Gomez-Garcia… - … Signal Processing and …, 2021 - Elsevier
Parkinson's Disease (PD) affects speech in the form of dysphonia and hypokinetic
dysarthria. Multiple studies have evaluated PD's influence on different aspects of speech …

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 …

Deep learning approach to Parkinson's disease detection using voice recordings and convolutional neural network dedicated to image classification

M Wodzinski, A Skalski, D Hemmerling… - 2019 41st annual …, 2019 - ieeexplore.ieee.org
This study presents an approach to Parkinson's disease detection using vowels with
sustained phonation and a ResNet architecture dedicated originally to image classification …

NeuroSpeech: An open-source software for Parkinson's speech analysis

JR Orozco-Arroyave, JC Vásquez-Correa… - Digital Signal …, 2018 - Elsevier
A new software for modeling pathological speech signals is presented in this paper. The
software is called NeuroSpeech. This software enables the analysis of pathological speech …

Automated methods for diagnosis of Parkinson's disease and predicting severity level

Z Ayaz, S Naz, NH Khan, I Razzak, M Imran - Neural Computing and …, 2023 - Springer
The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …

X-vectors: new quantitative biomarkers for early Parkinson's disease detection from speech

L Jeancolas, D Petrovska-Delacrétaz… - Frontiers in …, 2021 - frontiersin.org
Many articles have used voice analysis to detect Parkinson's disease (PD), but few have
focused on the early stages of the disease and the gender effect. In this article, we have …

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 …

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 …

Spectro-temporal sparsity characterization for dysarthric speech detection

I Kodrasi, H Bourlard - IEEE/ACM Transactions on Audio …, 2020 - ieeexplore.ieee.org
To assist the clinical diagnosis and treatment of neurological diseases that cause speech
dysarthria such as Parkinson's disease (PD), it is of paramount importance to craft robust …

Automatic speech-based assessment to discriminate Parkinson's disease from essential tremor with a cross-language approach

CD Rios-Urrego, J Rusz, JR Orozco-Arroyave - npj Digital Medicine, 2024 - nature.com
Parkinson's disease (PD) and essential tremor (ET) are prevalent movement disorders that
mainly affect elderly people, presenting diagnostic challenges due to shared clinical …