| PD | Parkinson’s disease |
| LMS | Log-scaled Mel Spectrogram |
| MDS-UPDRS III | Movement Disorder Society Unified Parkinson’s Disease Rating Scale Part III |
| CNN | Convolutional Neural Network |
| SVM | Support Vector Machine |
| RF | Random Forest |
| KNN | K-Nearest Neighbors |
| RT | Regression Trees |
| RNN | Recurrent Neural Network |
| LSTM | Long Short-Term Memory Network |
| STFT | Short-Time Fourier Transform |
| TP | True Positive |
| FP | False Positive |
| FN | False Negative |
| TN | True Negative |
| ROC | Receiver Operating Characteristic |
| AUC | Area Under the Curve |
| OvR | One versus Rest |
| AUROC | Area Under the Receiver Operating Characteristic Curve |
| ViT | Vision Transformer |
| Grad-CAM | Gradient-weighted Class Activation Mapping |
| t-SNE | t-distributed Stochastic Neighbor Embedding |
| HC | Healthy Controls |
| PD_Mild | Mild Parkinson’s Disease |
| PD_Severe | Severe Parkinson’s Disease |
| FS | First Segment |
| AS | All Segments |
| SOTA | State of the art |