[HTML][HTML] Parkinson's Disease Classification Framework Using Vocal Dynamics in Connected Speech
SB Appakaya, R Pratihar, R Sankar - Algorithms, 2023 - mdpi.com
Parkinson's disease (PD) classification through speech has been an advancing field of
research because of its ease of acquisition and processing. The minimal infrastructure …
research because of its ease of acquisition and processing. The minimal infrastructure …
Classification of Parkinson's disease Using Pitch Synchronous Speech Analysis
SB Appakaya, R Sankar - … of the IEEE Engineering in Medicine …, 2018 - ieeexplore.ieee.org
Human speech production is a complex task that demands synchronized cognitive and
muscular functioning. Assessment of a Parkinson's disease (PD) patient's speech using …
muscular functioning. Assessment of a Parkinson's disease (PD) patient's speech using …
[HTML][HTML] A Novel Artificial-Intelligence-Based Approach for Classification of Parkinson's Disease Using Complex and Large Vocal Features
Parkinson's disease (PD) affects a large proportion of elderly people. Symptoms include
tremors, slow movement, rigid muscles, and trouble speaking. With the aging of the …
tremors, slow movement, rigid muscles, and trouble speaking. With the aging of the …
[PDF][PDF] Source and Vocal Tract Cues for Speech-Based Classification of Patients with Parkinson's Disease and Healthy Subjects.
Parkinson's disease (PD) affects both source and vocal tract components of speech. Various
speech cues explored in literature for automatic classification of individuals with PD and …
speech cues explored in literature for automatic classification of individuals with PD and …
[HTML][HTML] Towards Early Intervention: Detecting Parkinson's Disease through Voice Analysis with Machine Learning
Materials and Methods We utilized a dataset of 195 voice samples with 23 attributes,
applying machine learning algorithms such as Linear Discriminant Analysis (LDA), Support …
applying machine learning algorithms such as Linear Discriminant Analysis (LDA), Support …
[PDF][PDF] Automatic estimation of parkinson's disease severity from diverse speech tasks.
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 …
major clinical need. Automating the diagnosis can lead to more accurate and objective …
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 …
dysarthria. Multiple studies have evaluated PD's influence on different aspects of speech …
Parkinson's disease classification using pitch synchronous speech segments and fine Gaussian kernels based SVM
SB Appakaya, R Sankar - … of the IEEE engineering in medicine …, 2020 - ieeexplore.ieee.org
Researchers have been using signal processing based methods to assess speech from
Parkinson's disease (PD) patients and identify the contrasting features in comparison to …
Parkinson's disease (PD) patients and identify the contrasting features in comparison to …
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 …
and non-motor characteristics. PD patients commonly face vocal impairments during the …
[HTML][HTML] Robust and language-independent acoustic features in Parkinson's disease
Introduction The analysis of vocal samples from patients with Parkinson's disease (PDP) can
be relevant in supporting early diagnosis and disease monitoring. Intriguingly, speech …
be relevant in supporting early diagnosis and disease monitoring. Intriguingly, speech …