Abstract
The most important application of voice profiling is pathological voice detection. Parkinson's disease is a chronic neurological degenerative disease affecting the central nervous system responsible for essentially progressive evolution movement disorders. 70% to 90% of Parkinson’s disease (PD) patients show an affected voice. This paper proposes a methodology for PD based on acoustic, glottal, physical, and electrical parameters. The results show that the acoustic parameter is more important in the case of Parkinson’s disease as compared to glottal and physical parameters. The authors achieved 97.2% accuracy to differentiate Parkinson and healthy voice using jitter to pitch ratio proposed algorithm. The Authors also proposed an algorithm of poles calculation of the vocal tract to find formants of the vocal tract. Further, formants are used for finding the transfer function of vocal tract filter. In the end, the authors suggested parameters of the electrical vocal tract model are also changed in the case of PD voices.
Highlights
In multiple aspects, neurodegenerative, psychiatric and developmental disorders will adversely impact humans at all levels
In order for IJHISI readers to better understand the proposed methodologies in the context of voice pathology and detection, we present first, a method for detection and classification of Parkinson’s disease (PD) voice based on acoustic, glottal and physical parameters, discuss a series of details of the circuit for vocal tract filter for PD voice classification, and proposed equivalent electrical circuit of vocal tract to compute its electrical parameters
With the overall goal to detect PD via voice analysis, this study investigates the detection of PD via acoustic, physical, glottal parameters, frequency response of vocal tract as well as its equivalent electrical parameters
Summary
Neurodegenerative, psychiatric and developmental disorders will adversely impact humans at all levels. While no cure for PD has yet been found, the quality of life for infected patients may be significantly improved with early diagnosis and interventions (Lang, 1998).Today, we know that a decrease of dopamine producing cells in the brain causes PD, but the root cause of decrease in dopamine producing cells is still unknown. The decrease in these cells affects the role of the neural activities and results in PD (Ho, 1999)
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