记录关于AEC的论文和代码、博客以及相关资料

paper title: Low-Complexity Acoustic Echo Cancellation with Neural Kalman Filtering
标题： 基于神经卡尔曼滤波的低复杂度声回波对消
链接：https://arxiv.org/abs/2207.11388
作者：Dong Yang,Fei Jiang,Wei Wu,Xuefei Fang,Muyong Cao
项目主页：https://fjiang9.github.io/NKF-AEC/
github主页： https://github.com/fjiang9/NKF-AEC

paper title: Personalized Acoustic Echo Cancellation for Full-duplex Communications
标题：用于全双工通信的个性化声学回波消除
链接：https://arxiv.org/abs/2205.15195
作者：Shimin Zhang,Ziteng Wang,Yukai Ju,Yihui Fu,Yueyue Na,Qiang Fu,Lei Xie
备注：submitted to INTERSPEECH 22

paper title: Multi-Task Deep Residual Echo Suppression with Echo-aware Loss
标题：具有回波感知丢失的多任务深度残余回波抑制
作者：Shimin Zhang,Ziteng Wang,Jiayao Sun,Yihui Fu,Biao Tian,Qiang Fu,Lei Xie
备注：accepted at ICASSP 2022
链接：https://arxiv.org/pdf/2202.06850v1.pdf
https://echocatzh.github.io/GFTNN/

paper title: A deep complex network with multi-frame filtering for stereophonic acoustic echo cancellation
作者：Linjuan Cheng,Chengshi Zheng,Andong Li,Renhua Peng,Xiaodong Li
链接：https://arxiv.org/pdf/2202.01630v1.pdf

paper title:Auto-DSP: Learning to Optimize Acoustic Echo Cancellers
标题：Auto-DSP：学习优化声学回波消除器
链接：https://arxiv.org/abs/2110.04284
作者：Jonah Casebeer,Nicholas J. Bryan,Paris Smaragdis
机构：♯ University of Illinois at Urbana-Champaign, ♭ Adobe Research
备注：Accepted to the 2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).
Source code and audio examples: https://jmcasebeer.github.io/projects/auto-dsp/ https://github.com/jmcasebeer/autodsp

paper title:Acoustic Echo Cancellation using Residual U-Nets
标题：基于剩余U网的声学回波抵消
链接：https://arxiv.org/abs/2109.09686
作者：J. Silva-Rodríguez,M. F. Dolz,M. Ferrer,A. Castelló,V. Naranjo,G. Piñero
机构： Universitat Politecnica de Valencia
备注：6 pages, 2 figures, submitted to the 2021 IEEE International Conference on Acoustics, Speech and Signal Processing on October 2020

paper title:Deep Residual Echo Suppression and Noise Reduction: A Multi-Input FCRN Approach in a Hybrid Speech Enhancement System
标题：深层残留回波抑制与降噪：一种混合语音增强系统中的多输入FcRN方法
链接：https://arxiv.org/abs/2108.03051
作者：Jan Franzen,Tim Fingscheidt
机构：Institute for Communications Technology, Technische Universit¨at Braunschweig, Schleinitzstr. , Braunschweig, Germany

paper title:EchoFilter: End-to-End Neural Network for Acoustic Echo Cancellation
机构：学而思
paper links:https://arxiv.org/abs/2105.14666

paper title: Deep Residual Echo Suppression with A Tunable Tradeoff Between Signal Distortion and Echo Suppression
标题：在信号失真和回波抑制之间进行可调折衷的深层残余回波抑制
作者：Amir Ivry,Israel Cohen,Baruch Berdugo ICASSP 2021
机构：Technion – Israel Institute of Technology, Technion City, Haifa , Israel
paper links: https://arxiv.org/pdf/2106.13531.pdf

paper title: Nonlinear Acoustic Echo Cancellation with Deep Learning
标题：基于深度学习的非线性声学回波抵消
作者：Amir Ivry,Israel Cohen,Baruch Berdugo
机构：Technion – Israel Institute of Technology, Technion City, Haifa , Israel
备注：Accepted to Interspeech 2021
链接：https://arxiv.org/abs/2106.13754

paper title: EchoFilter: End-to-End Neural Network for Acoustic Echo Cancellation
标题：EchoFilter：端到端的声学回波消除神经网络
作者：Lu Ma,Song Yang,Yaguang Gong,Xintian Wang,Zhongqin Wu
机构*：TAL Education Group, Beijing, China
备注：5 pages, 3 figures, 6 tabels
paper links: https://arxiv.org/pdf/2105.14666v1.pdf

paper ttle: Multi-Scale Attention Neural Network for Acoustic Echo Cancellation
标题：多尺度注意力神经网络在声回波消除中的应用
作者：Lu Ma,Song Yang,Yaguang Gong,Zhongqin Wu
机构*：TAL Education Group, Beijing, China
paper link: https://arxiv.org/pdf/2106.00010v1.pdf

DTLN: https://github.com/YoungJay0612/DTLN-aec-TensorFlow
RNN_AEC: https://github.com/shichaog/RNNAec 葛世超