Acoustic echo cancellation
13 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Acoustic echo cancellation
Libraries
Use these libraries to find Acoustic echo cancellation models and implementationsDatasets
ICASSP 2021 Acoustic Echo Cancellation Challenge
Most implemented papers
Deep model with built-in cross-attention alignment for acoustic echo cancellation
lhwcv/self_attention_alignment
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Since acoustic echo is one of the major sources of poor audio quality, a wide variety of deep models have been proposed.
End-To-End Deep Learning-based Adaptation Control for Linear Acoustic Echo Cancellation
thomashaubner/e2e_dnn_ad_control_for_lin_aec
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To obtain precise echo estimates, the parameters of the echo canceler, i. e., the filter coefficients, need to be estimated quickly and precisely from the observed loudspeaker and microphone signals.
ICASSP 2023 Acoustic Echo Cancellation Challenge
This is the fourth AEC challenge and it is enhanced by adding a second track for personalized acoustic echo cancellation, reducing the algorithmic + buffering latency to 20ms, as well as including a full-band version of AECMOS.
