Neural Networks | Transformers | Image Processing | Audio | Classifier | Machine Learning
Converting audio files into spectrogram representations and running them through a Vision Transformer Neural Network, we classified the voices of those with and without Parkinsons’ disease at a 93% validation and 76% test ROC-AUC.
The full notebook can be accessed here, and the paper can be accessed here.