| PHMLM | Psychoacoustic Heatmap Machine Learning Models |
| E | Evaluation |
| P | Potency |
| A | Activity |
| EPA | Evaluation, Potency, and Activity |
| PPS | Psychoacoustics Perception Scale |
| TRM | Traditional Regression Models |
| WHO | World Health Organization |
| NC | Noise Criteria |
| NR | Noise Rating |
| RC | Room Criteria |
| ANN | Artificial Neural Network |
| FC | Fully Connected |
| MP | Max Pooling |
| conv | Convolutional |
| CI | Confidence Interval |
| SD | Standard Deviation |
| IQR | Interquartile Range |
| MAE | Mean Absolute Errors |
| CNN | Convolutional Neural Network |
| SGDM | Stochastic Gradient Descent with Momentum |
| SVM | Support Vector Machines |
| RBF | Radial Basis Function |
| MLPs | Multilayer Perceptrons |