11 citations · 13 across the 5 of their papers we have counts for
6 papers
Harmonicity Plays a Critical Role in DNN Based Versus in Biologically-Inspired Monaural Speech Segregation Systems
Rahil Parikh, Ilya Kavalerov, Carol Espy-Wilson +1
Recent advancements in deep learning have led to drastic improvements in speech segregation models. Despite their success and growing applicability, few efforts have been made to a…
Exploring the high dimensional geometry of HSI features
Wojciech Czaja, Ilya Kavalerov, Weilin Li
We explore feature space geometries induced by the 3-D Fourier scattering transform and deep neural network with extended attribute profiles on four standard hyperspectral images.…
Cortical Features for Defense Against Adversarial Audio Attacks
Ilya Kavalerov, Ruijie Zheng, Wojciech Czaja +1
We propose using a computational model of the auditory cortex as a defense against adversarial attacks on audio. We apply several white-box iterative optimization-based adversarial…
cGANs with Multi-Hinge Loss
Ilya Kavalerov, Wojciech Czaja, Rama Chellappa
We propose a new algorithm to incorporate class conditional information into the critic of GANs via a multi-class generalization of the commonly used Hinge loss that is compatible…
Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral Images
Ilya Kavalerov, Weilin Li, Wojciech Czaja +1
Recent developments in machine learning and signal processing have resulted in many new techniques that are able to effectively capture the intrinsic yet complex properties of hype…
Universal Sound Separation
Ilya Kavalerov, Scott Wisdom, Hakan Erdogan +4
Recent deep learning approaches have achieved impressive performance on speech enhancement and separation tasks. However, these approaches have not been investigated for separating…