[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 …
A Comprehensive review on AI-enabled models for Parkinson's disease diagnosis
Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …
traditional plasma experiments, necessitating the development of a faster, less expensive …
The detection of Parkinson disease using the genetic algorithm and SVM classifier
The speech signal is like the black box of human beings where much information is hidden.
The treatment of this signal provides us with the speaker's identity. In a way, it is similar to an …
The treatment of this signal provides us with the speaker's identity. In a way, it is similar to an …
Detection of COVID-19 from speech signal using bio-inspired based cepstral features
The early detection of COVID-19 is a challenging task due to its deadly spreading nature
and existing fear in minds of people. Speech-based detection can be one of the safest tools …
and existing fear in minds of people. Speech-based detection can be one of the safest tools …
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 …
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 …
Time-frequency analysis of speech signal using Chirplet transform for automatic diagnosis of Parkinson's disease
Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder in the
world after Alzheimer's disease. Early diagnosing PD is challenging as it evolved slowly …
world after Alzheimer's disease. Early diagnosing PD is challenging as it evolved slowly …
Parkinson disease detection using energy direction features based on EMD from voice signal
T Zhang, Y Zhang, H Sun, H Shan - Biocybernetics and Biomedical …, 2021 - Elsevier
Voice disorders are one of the incipient symptoms of Parkinson's disease (PD). Recent
studies have shown that approximately 90% of PD patients suffer from vocal disorders …
studies have shown that approximately 90% of PD patients suffer from vocal disorders …
Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson's disease prediction
Parkinson's disease (PD) is a neuron related disorder that affects the people in old age. The
majority of people suffering from PD develop several voice impairments mainly related to …
majority of people suffering from PD develop several voice impairments mainly related to …
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 …