Adaptive filters are applicable to many signal processing tasks includin...
Adaptive filtering algorithms are pervasive throughout modern society an...
Estimating a time-varying spatial covariance matrix for a beamforming
al...
Adaptive filtering algorithms are commonplace in signal processing and h...
In this work, we present HIDACT, a novel network architecture for adapti...
We propose FEDENHANCE, an unsupervised federated learning (FL) approach ...
Audio codecs based on discretized neural autoencoders have recently been...
When performing multi-channel speech enhancement with a wireless acousti...
Many neural speech enhancement and source separation systems operate in ...
We propose a completely unsupervised method to understand audio scenes
o...
We address the problem of privately communicating audio messages to mult...
In this paper we introduce the idea of multi-view networks for sound
cla...
We describe a private audio messaging system that uses echoes to unscram...
We propose a set of denoising neural networks capable of operating on an...