Conditional Generative Data Augmentation for Clinical Audio Datasets

Matthias Seibold, Armando Hoch, Mazda Farshad +2

In this work, we propose a novel data augmentation method for clinical audio datasets based on a conditional Wasserstein Generative Adversarial Network with Gradient Penalty (cWGAN…