3 papers
cs.SD2020
Conditioning Trick for Training Stable GANs
Mohammad Esmaeilpour, Raymel Alfonso Sallo, Olivier St-Georges +2
In this paper we propose a conditioning trick, called difference departure from normality, applied on the generator network in response to instability issues during GAN training. W…
cs.LG2020
Improving Stability of LS-GANs for Audio and Speech Signals
Mohammad Esmaeilpour, Raymel Alfonso Sallo, Olivier St-Georges +2
In this paper we address the instability issue of generative adversarial network (GAN) by proposing a new similarity metric in unitary space of Schur decomposition for 2D represent…
eess.AS2020
Adversarially Training for Audio Classifiers
Raymel Alfonso Sallo, Mohammad Esmaeilpour, Patrick Cardinal
In this paper, we investigate the potential effect of the adversarially training on the robustness of six advanced deep neural networks against a variety of targeted and non-target…