RNN-Based Step-Size Estimation for the RLS Algorithm with Application to Acoustic Echo Cancellation
Author:
Affiliation:
1. Ceva,Herzelia-Pituach,Israel
2. Bar-Ilan University,Faculty of Engineering,Ramat-Gan,Israel
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10094759.pdf?arnumber=10094759
Reference20 articles.
1. ICASSP 2022 Acoustic Echo Cancellation Challenge
2. Deep learningbased joint control of acoustic echo cancellation, beamforming and postfiltering;haubner,2022
3. An Array Recursive Least-Squares Algorithm With Generic Nonfading Regularization Matrix
4. wav2vec 2.0: A framework for self-supervised learning of speech representations;baevski;Advances in neural information processing systems,2020
5. SDR – Half-baked or Well Done?
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1. End-to-End Deep Learning-Based Adaptation Control for Linear Acoustic Echo Cancellation;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
2. An acoustic echo canceller optimized for hands-free speech telecommunication in large vehicle cabins;EURASIP Journal on Audio, Speech, and Music Processing;2023-10-07
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