Icassp 2023 acoustic echo cancellation challenge
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 …
in acoustic echo cancellation (AEC), which is an important area of speech enhancement and …
ICASSP 2021 acoustic echo cancellation challenge: Datasets, testing framework, and results
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 …
in the area of acoustic echo cancellation (AEC), which is an important part of speech …
[PDF][PDF] INTERSPEECH 2021 Acoustic Echo Cancellation Challenge.
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 …
stimulate research in the area of acoustic echo cancellation (AEC), which is an important …
Acoustic echo cancellation with the dual-signal transformation LSTM network
NL Westhausen, BT Meyer - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
This paper applies the dual-signal transformation LSTM network (DTLN) to the task of real-
time acoustic echo cancellation (AEC). The DTLN combines a short-time Fourier transform …
time acoustic echo cancellation (AEC). The DTLN combines a short-time Fourier transform …
AECMOS: A speech quality assessment metric for echo impairment
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 …
quality assessment measures such as ERLE [1] and PESQ [2], or by carrying out subjective …
FT-LSTM based complex network for joint acoustic echo cancellation and speech enhancement
With the increasing demand for audio communication and online conference, ensuring the
robustness of Acoustic Echo Cancellation (AEC) under the complicated acoustic scenario …
robustness of Acoustic Echo Cancellation (AEC) under the complicated acoustic scenario …
Combining adaptive filtering and complex-valued deep postfiltering for acoustic echo cancellation
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 …
cancellation employing a complex-valued Deep Neural Network (DNN) for postfiltering. In a …
Weighted recursive least square filter and neural network based residual echo suppression for the aec-challenge
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 …
AEC-Challenge. The algorithm consists of three modules: Generalized Cross-Correlation …
Low-complexity acoustic echo cancellation with neural Kalman filtering
D Yang, F Jiang, W Wu, X Fang… - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
The Kalman filter has been adopted in acoustic echo cancellation due to its robustness to
double-talk, fast convergence, and good steady-state performance. The performance of …
double-talk, fast convergence, and good steady-state performance. The performance of …
Deep residual echo suppression with a tunable tradeoff between signal distortion and echo suppression
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 …
that directly maps the outputs of a linear acoustic echo canceler to the desired signal in the …