A BAYESIAN NETWORK VIEW ON LINEAR AND NONLINEAR ACOUSTIC ECHO CANCELLATION

被引：0
|
作者：
Maas, Roland [1 ]
Huemmer, Christian [1 ]
Schwarz, Andreas [1 ]
Hofmann, Christian [1 ]
Kellermann, Walter [1 ]
机构：
[1] Univ Erlangen Nurnberg, Multimedia Commun & Signal Proc, D-91054 Erlangen, Germany
来源：
2014 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (CHINASIP) | 2014年
关键词：
machine learning for signal processing; Bayesian networks; system identification; adaptive filtering; nonlinear acoustic echo cancellation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this contribution, we provide a new derivation of the normalized least mean square (NLMS) algorithm from a machine learning perspective. By applying the inference rules of Bayesian networks to a linear observation model, the NLMS can be shown to arise as a modification of the Kalman filter equations. Based on a nonlinear observation model, we exemplify the benefit of the Bayesian point of view by employing the technique of particle filtering to realize a tractable algorithm for nonlinear acoustic echo cancellation. Experiments carried out on real smartphone recordings reveal the remarkable performance of the new approach.
引用
收藏
页码：495 / 499
页数：5
相关论文
共 50 条
  • [31] The Significance-Aware EPFES to Estimate a Memoryless Preprocessor for Nonlinear Acoustic Echo Cancellation
    Huemmer, Christian
    Hofmann, Christian
    Maas, Roland
    Kellermann, Walter
    2014 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP), 2014, : 557 - 561
  • [32] BI-MAGNITUDE PROCESSING FRAMEWORK FOR NONLINEAR ACOUSTIC ECHO CANCELLATION ON ANDROID DEVICES
    Huang, Yiteng
    Skoglund, Jan
    Luebs, Alejandro
    2016 IEEE INTERNATIONAL WORKSHOP ON ACOUSTIC SIGNAL ENHANCEMENT (IWAENC), 2016,
  • [33] Delayless frequency domain acoustic echo cancellation
    Bendel, Y
    Burshtein, D
    Shalvi, O
    Weinstein, E
    IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 2001, 9 (05): : 589 - 597
  • [34] A Neural Network-Based Nonlinear Acoustic Echo Canceller
    Halimeh, Mhd Modar
    Huemmer, Christian
    Kellermann, Walter
    IEEE SIGNAL PROCESSING LETTERS, 2019, 26 (12) : 1827 - 1831
  • [35] State-Space Frequency-Domain Adaptive Filtering for Nonlinear Acoustic Echo Cancellation
    Malik, Sarmad
    Enzner, Gerald
    IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2012, 20 (07): : 2065 - 2079
  • [36] THE ELITIST PARTICLE FILTER BASED ON EVOLUTIONARY STRATEGIES AS NOVEL APPROACH FOR NONLINEAR ACOUSTIC ECHO CANCELLATION
    Huemmer, Christian
    Hofmann, Christian
    Maas, Roland
    Schwarz, Andreas
    Kellermann, Walter
    2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,
  • [37] NONLINEAR ACOUSTIC ECHO CANCELLATION BASED ON A PARALLEL-CASCADE KERNEL AFFINE PROJECTION ALGORITHM
    Gil-Cacho, Jose M.
    van Waterschoot, Toon
    Moonen, Marc
    Jensen, Soren Holdt
    2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2012, : 33 - 36
  • [38] Channel Sparsity-Aware Diagonal Structure Volterra Filters for Nonlinear Acoustic Echo Cancellation
    Vijayarajan, Vinith
    Dai, Jingzhao
    Tan, Li
    Jiang, Jean
    2018 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY (EIT), 2018, : 420 - 423
  • [39] Adaptive acoustic echo cancellation in the presence of multiple nonilinearities
    Shi, Kun
    Ma, Xiaoli
    Zhou, G. Tong
    2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12, 2008, : 3601 - 3604
  • [40] An Iterative Wiener Filter for Stereophonic Acoustic Echo Cancellation
    Benesty, Jacob
    Dogariu, Laura-Maria
    Paleologu, Constantin
    Ciochina, Silviu
    2022 56TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, 2022, : 366 - 370
12345