The development of automated techniques for speech analysis-based Parkinson's disease (PD) detection has attracted a lot of interest, especially because of its possible uses in health tele-monitoring. Due to the drawbacks of the ᾳ - Synuclein Seed Amplification Assay technique, scientists are looking more closely at speech signals as a potential substitute for PD detection. In order to identify PD, this proposal describes a thorough investigation that emphasizes using both voice and unvoiced source material.
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