Parkinson Detection from Speech

Parkinson Detection from Speech is a technology that utilizes speech characteristics to detect Parkinson's disease. This task involves analyzing the patient's voice signals to extract specific acoustic features, which can help identify and evaluate early symptoms and the progression of Parkinson's disease. The goal is to improve the accuracy and efficiency of Parkinson's disease diagnosis, enabling early intervention and personalized treatment. The application value of this technology in the field of healthcare is significant, as it can contribute to enhancing the quality of life for patients.