In this letter, we introduce a novel approach for nonlinear acoustic echo cancellation. The
proposed approach uses the principle of transfer learning to train a neural network that …

A well-known problem in speech communication is the occurrence of acoustic echo in hands-
free telephony. There are several classical adaptive filters that have been used as a stand …

This paper introduces a new class of nonlinear filters for nonlinear acoustic echo
cancellation (NLAEC) based on Hermite nonlinear filters (HNFs), which is a sub-class of …

While a common approach to address nonlinear distortions, emitted by multiple
loudspeakers and observed by multiple microphones, is to use post-filtering techniques, this …

The usage of low-quality components in communicating devices introduces acoustic
nonlinearity. The presence of nonlinearity creates challenges in noise cancellation …

Given the widespread use of miniaturized audio interfaces, echo control systems are faced
with increasing challenges to address a large variety of acoustic conditions observed by …

For the problem of acoustic echo cancellation (AEC) with nonlinear distortions, we propose
to use a linear adaptive filter that maximizes the Correntropy similarity measure instead of …

In this paper, we introduce a Bayesian framework to perform model selection for nonlinear
acoustic echo cancellation. This is especially important for scenarios where the functional …

A stereophonic acoustic system offers better spatial realism in teleconferencing and other
acoustic applications compared to its monophonic counterpart. However, it suffers from …

The usage of low-quality components in communicating devices may introduce nonlinearity
in the audio signals. The degree of nonlinearity may vary over time due to the nonstationary …