Using Human Factor Cepstral Coefficient on Multiple Types of Voice Recordings for Detecting Patients with Parkinson's Disease

- Collection of multiple types of voice recordings.
- Extraction of the HFCC from all voice samples.
- Extraction of the voiceprint from each voice sample.
- Classification using SVM, KNN along with LOSO validation scheme.
- We obtained 100% as a maximum classification accuracy.