There has been an increased interest in speech pattern analysis applications of
Parkinsonism for building predictive telediagnosis and telemonitoring models. For this …

Parkinson's disease (Pd) is a progressive disease caused by the loss of brain cells and
brings about speech and pronunciation defects during the early stages. This study revealed …

Recently, speech pattern analysis applications in building predictive telediagnosis and
telemonitoring models for diagnosing Parkinson's disease (PD) have attracted many …

Speech has been widely used in the diagnosis of Parkinson's disease (PD). However, the
collected PD speech data has the characteristics of high data redundancy, high aliasing and …

There is more interest in the speech model applications for analysis of Parkinson's diseases
to predictively construct tele diagnosis and telemonitoring models. This motivated us to use …

In recent years, the study of machine learning-based speech recognition methods for
Parkinson's disease has become a hot topic in recent years. However, existing related …

As a neurodegenerative disease, Parkinson's disease (PD) is hard to identify at the early
stage, while using speech data to build a machine learning diagnosis model has proved …

Parkinson's disease (PD) is a progressive and long-term neurodegenerative disorder of the
central nervous system. It has been studied that 90% of the PD subjects have voice …

Abstract Machine learning-based Parkinson's disease (PD) speech diagnosis is a current
research hotspot. However, existing methods use each corpus sample as the base unit for …

Parkinson's disease is a weakened disease brain function so that early treatment so far has
not been able to be done surgically. Parkinson's disease is a disease that involves a …