This repository consists of code for training and testing 6 different boiling acoustic regression models to compare their accuracy.
The models include:
- Fast Fourier Transform (FFT)-Multilayer Perceptron
- FFT- Random Forest Regression
- FFT- Gaussian Process Regression
- Convoultional Neural Network (CNN) - Multilayer Perceptron
- CNN- Random Forest Regression
- CNN- Gaussian Process Regression
Where FFT and CNN are used as feature extractors on the audio clips.