In this contribution, we introduce a novel approach to noise-robust acoustic echo
cancellation employing a complex-valued Deep Neural Network (DNN) for postfiltering. In a …

This paper presents a real-time Acoustic Echo Cancellation (AEC) algorithm submitted to the
AEC-Challenge. The algorithm consists of three modules: Generalized Cross-Correlation …

A novel extension of Independent Component and Independent Vector Analysis for blind
extraction/separation of one or several sources from time-varying mixtures is proposed. The …

This paper considers mixing matrix estimation for underdetermined blind source separation.
First, we propose an effective detection algorithm to identify single source points where only …

The recently proposed semi-blind source separation (SBSS) method for nonlinear acoustic
echo cancellation (NAEC) outperforms adaptive NAEC in attenuating the nonlinear acoustic …

The mismatch between the numerical and actual nonlinear models is a challenge to
nonlinear acoustic echo cancellation (NAEC) when the nonlinear adaptive filter is utilized …

Nonlinear acoustic echo cancellation (AEC) is a highly challenging task in a single-
microphone; hence, the AEC technique with a microphone array has also been considered …

This paper examines the technique of using a noise-suppressing nonlinearity in the
adaptive filter error feedback-loop of an acoustic echo canceler (AEC) based on the least …

While the semi-blind source separation-based acoustic echo cancellation (SBSS-AEC) has
received much research attention due to its promising performance during double-talk …

Echo cancelers typically employ control mechanisms to prevent adaptive filter updates
during double-talk events. By contrast, this paper exploits the information contained in time …