J. Galván-Tejada

Non-Invasive Voice-Based Early Detection of Parkinson’s Disease via Spectral Feature Analysis and Machine Learning Techniques

This research presents a methodology to distinguish between individuals with PD and healthy controls using voice signals through speech recognition and machine learning techniques, highlighting the potential of integrating cepstral features with machine learning algorithms to develop reliable, non-invasive tools for th...