The ICASSP 2023 Acoustic Echo Cancellation Challenge is intended to stimulate research
in acoustic echo cancellation (AEC), which is an important area of speech enhancement and …

The ICASSP 2021 Acoustic Echo Cancellation Challenge is intended to stimulate research
in the area of acoustic echo cancellation (AEC), which is an important part of speech …

Abstract The INTERSPEECH 2021 Acoustic Echo Cancellation Challenge is intended to
stimulate research in the area of acoustic echo cancellation (AEC), which is an important …

Traditionally, the quality of acoustic echo cancellers is evaluated using intrusive speech
quality assessment measures such as ERLE [1] and PESQ [2], or by carrying out subjective …

A linear-in-the-parameters nonlinear filter consists of a functional expansion block, which
expands the input signal to a higher dimensional space nonlinearly, followed by an adaptive …

This paper describes a two-stage acoustic echo cancellation (AEC) and suppression
framework for the INTERSPEECH2021 AEC Challenge. In the first stage, four parallel …

In this paper, we propose a residual echo suppression method using a UNet neural network
that directly maps the outputs of a linear acoustic echo canceler to the desired signal in the …

Functional link adaptive filters (FLAFs) utilize expansion blocks to nonlinearly augment the
input signal to a higher dimensional space, after which an adaptive weight algorithm is …

This paper describes a three-stage acoustic echo cancellation (AEC) and suppression
framework for the ICASSP 2021 AEC Challenge. In the first stage, a partitioned block …

Deep learning-based methods that jointly perform the task of acoustic echo and noise
reduction (AENR) often require high memory and computational resources, making them …