[HTML][HTML] Voice analysis for neurological disorder recognition–a systematic review and perspective on emerging trends
Quantifying neurological disorders from voice is a rapidly growing field of research and
holds promise for unobtrusive and large-scale disorder monitoring. The data recording setup …
holds promise for unobtrusive and large-scale disorder monitoring. The data recording setup …
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 …
[HTML][HTML] Investigating voice as a biomarker: deep phenotyping methods for early detection of Parkinson's disease
Voice technology has grown tremendously in recent years and using voice as a biomarker
has also been gaining evidence. We demonstrate the potential of voice in serving as a deep …
has also been gaining evidence. We demonstrate the potential of voice in serving as a deep …
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 …
[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 …
Parkinson's disease detection using smartphone recorded phonemes in real world conditions
Parkinson's disease (PD) is a multi-symptom neurodegenerative disease. There are no
biomarkers; the diagnosis and monitoring of the disease progression require clinical and …
biomarkers; the diagnosis and monitoring of the disease progression require clinical and …
[HTML][HTML] Artificial intelligence-based voice assessment of patients with Parkinson's disease off and on treatment: machine vs. deep-learning comparison
Parkinson's Disease (PD) is one of the most common non-curable neurodegenerative
diseases. Diagnosis is achieved clinically on the basis of different symptoms with …
diseases. Diagnosis is achieved clinically on the basis of different symptoms with …
[HTML][HTML] Enhancing Parkinson's disease severity assessment through voice-based wavelet scattering, optimized model selection, and weighted majority voting
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor and non-
motor symptoms that significantly impact an individual's quality of life. Voice changes have …
motor symptoms that significantly impact an individual's quality of life. Voice changes have …
[HTML][HTML] Assessing Parkinson's disease at scale using telephone-recorded speech: insights from the Parkinson's voice initiative
Numerous studies have reported on the high accuracy of using voice tasks for the remote
detection and monitoring of Parkinson's Disease (PD). Most of these studies, however …
detection and monitoring of Parkinson's Disease (PD). Most of these studies, however …
[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 …