[PDF][PDF] Automatic estimation of parkinson's disease severity from diverse speech tasks.

J Kim, M Nasir, R Gupta, M Van Segbroeck, D Bone… - Interspeech, 2015 - researchgate.net
The need for reliable, scalable and efficient diagnosis of Parkinson's Disease (PD) is a
major clinical need. Automating the diagnosis can lead to more accurate and objective …

Fully automated assessment of the severity of Parkinson's disease from speech

A Bayestehtashk, M Asgari, I Shafran… - Computer speech & …, 2015 - Elsevier
For several decades now, there has been sporadic interest in automatically characterizing
the speech impairment due to Parkinson's disease (PD). Most early studies were confined to …

[PDF][PDF] Random forest-based prediction of Parkinson's disease progression using acoustic, ASR and intelligibility features

A Zlotnik, JM Montero, R San-Segundo… - … Conference of the …, 2015 - e-archivo.uc3m.es
Abstract The Interspeech ComParE 2015 PC Sub-Challenge consists of automatically
determining the degree of Parkinson's condition using exclusively the patient's voice. In this …

An algorithm for Parkinson's disease speech classification based on isolated words analysis

F Amato, L Borzì, G Olmo… - Health Information Science …, 2021 - Springer
Introduction Automatic assessment of speech impairment is a cutting edge topic in
Parkinson's disease (PD). Language disorders are known to occur several years earlier than …

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 …

[PDF][PDF] Automatic recognition of unified parkinson's disease rating from speech with acoustic, i-vector and phonotactic features.

G An, DG Brizan, M Ma, M Morales, AR Syed… - Interspeech, 2015 - academia.edu
Parkinson's Disease is a neurodegenerative disease affecting millions of people globally,
most of whom present difficulties producing speech sounds. In this paper, we describe a …

[PDF][PDF] Estimating the severity of parkinson's disease from speech using linear regression and database partitioning.

D Sztahó, G Kiss, K Vicsi - INTERSPEECH, 2015 - isca-archive.org
Parkinson's disease (PD) is one of the most common neurodegenerative disorders. PD is
referred as idiopathic, that is, as having no known cause; its main symptoms are tremor …

[PDF][PDF] Diagnosis of Parkinson's disorder through speech data using machine learning algorithms

MS Abhishek, CR Chethan, CR Aditya… - Volume-9 Issue-3 …, 2020 - researchgate.net
Parkinson's disease is a neurodegenerative disorder that affects millions of people around
the globe. Detecting Parkinson's disease at an earlier stage could help to better diagnose …

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 …

Comparative Study of Speech Analysis Methods to Predict Parkinson's Disease

AA Toye, S Kompalli - arXiv preprint arXiv:2111.10207, 2021 - arxiv.org
One of the symptoms observed in the early stages of Parkinson's Disease (PD) is speech
impairment. Speech disorders can be used to detect this disease before it degenerates. This …