[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: Systematic literature review
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …
physiological systems, which makes the voice sensitive to changes. Any systematic …
Computerized analysis of speech and voice for Parkinson's disease: A systematic review
Background and objective Speech impairment is an early symptom of Parkinson's disease
(PD). This study has summarized the literature related to speech and voice in detecting PD …
(PD). This study has summarized the literature related to speech and voice in detecting PD …
End-to-end deep learning approach for Parkinson's disease detection from speech signals
C Quan, K Ren, Z Luo, Z Chen, Y Ling - Biocybernetics and Biomedical …, 2022 - Elsevier
More than 90% of patients with Parkinson's disease suffer from hypokinetic dysarthria. This
paper proposes a novel end-to-end deep learning model for Parkinson's disease detection …
paper proposes a novel end-to-end deep learning model for Parkinson's disease detection …
A hybrid U-lossian deep learning network for screening and evaluating Parkinson's disease
R Maskeliūnas, R Damaševičius, A Kulikajevas… - Applied sciences, 2022 - mdpi.com
Speech impairment analysis and processing technologies have evolved substantially in
recent years, and the use of voice as a biomarker has gained popularity. We have …
recent years, and the use of voice as a biomarker has gained popularity. We have …
A voice feature extraction method based on fractional attribute topology for Parkinson's disease detection
T Zhang, L Lin, Z Xue - Expert systems with applications, 2023 - Elsevier
Parkinson's disease (PD) is a common neurodegenerative disease that seriously affects the
health and daily life of patients. Dysphonia is one of the early symptoms of PD and extracting …
health and daily life of patients. Dysphonia is one of the early symptoms of PD and extracting …
Enhanced decision tree induction using evolutionary techniques for Parkinson's disease classification
The diagnosis of Parkinson's disease (PD) is important in neurological pathology for
appropriate medical therapy. Algorithms based on decision tree induction (DTI) have been …
appropriate medical therapy. Algorithms based on decision tree induction (DTI) have been …
Machine learning-and statistical-based voice analysis of Parkinson's disease patients: A survey
F Amato, G Saggio, V Cesarini, G Olmo… - Expert Systems with …, 2023 - Elsevier
The preliminary diagnosis and evaluation of the presence and/or severity of Parkinson's
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …
Robust language independent voice data driven Parkinson's disease detection
Abstract Background and Objective: Parkinson's Disease (PD) is a neurodegenerative
movement disorder caused by the progressive loss of dopamine. Approximately 90% of PD …
movement disorder caused by the progressive loss of dopamine. Approximately 90% of PD …
Progress prediction of Parkinson's disease based on graph wavelet transform and attention weighted random forest
Z Xue, T Zhang, L Lin - Expert systems with applications, 2022 - Elsevier
The progress prediction of Parkinson's disease (PD) is one of the most important issues in
early diagnosis of PD. Many researches have been conducted in this field, however, most …
early diagnosis of PD. Many researches have been conducted in this field, however, most …
A comparison of cepstral features in the detection of pathological voices by varying the input and filterbank of the cepstrum computation
Automatic voice pathology detection enables objective assessment of pathologies that affect
the voice production mechanism. Detection systems have been developed using the …
the voice production mechanism. Detection systems have been developed using the …