Analysis of Voice Parameters for the Discrimination of Healthy Voice and Parkinson Disease Affected Voice
Manish Kumar Jha1, Vikas Mittal2
1Manish Kumar Jha, M.Tech Student, Department of Electronics and Communication Engineering, Maharishi Markandeshwar University, Mullana, Ambala (Haryana) India.
2Vikas Mittal, Associate Professor, Department of Electronics and Communication Engineering, Maharishi Markandeshwar University, Mullana, Ambala (Haryana) India.
Manuscript received on December 02, 2018. | Revised Manuscript received on December 15, 2018. | Manuscript published on December 30, 2018. | PP: 4-9 | Volume-5 Issue-11, December 2018. | Retrieval Number: K12871151118
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Parkinson Disease (PD) seems to become one of the most prevalent neurological disorders of the twenty first century. Parkinson Disease is known to be an incurable disease because the clinical motor symptoms appear at later stages of the disease and the condition of patients at that point has become deteriorated. Moreover, the situation is further impaired by the lack of any diagnostic procedures or bio-markers for early evaluation of disease. Some recent studies on Parkinson Patients have concluded that the voice irregularities are the few very early appearing symptoms of Parkinson Disease. In this paper the voice analysis techniques are implemented to classify the Parkinson Patients on the voice parameter scales. The voice parameters which are realized in this approach are frequency, amplitude, pitch and formant, by applying Cepstral voice analysis algorithms. Besides providing patients.
Keywords: Parkinson, PRAAT, Voice Parameters Etc.