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
  • [1] A Bayesian network approach to linear and nonlinear acoustic echo cancellation
    Huemmer, Christian
    Maas, Roland
    Hofmann, Christian
    Kellermann, Walter
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2015, : 1 - 11
  • [2] A Bayesian network approach to linear and nonlinear acoustic echo cancellation
    Christian Huemmer
    Roland Maas
    Christian Hofmann
    Walter Kellermann
    EURASIP Journal on Advances in Signal Processing, 2015
  • [3] Bayesian Model Selection for Nonlinear Acoustic Echo Cancellation
    Halimeh, Mhd Modar
    Brendel, Andreas
    Kellermann, Walter
    2019 27TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2019,
  • [4] Review Paper on Linear and Nonlinear Acoustic Echo Cancellation
    Gupta, D. K.
    Gupta, V. K.
    Chandra, Mahesh
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON FRONTIERS OF INTELLIGENT COMPUTING: THEORY AND APPLICATIONS (FICTA) 2014, VOL 2, 2015, 328 : 465 - 473
  • [5] Nonlinear Acoustic Echo Suppression Based on Spectrum Selection Using the Amount of Linear Echo Cancellation
    Sudo, Takashi
    Tanaka, Hirokazu
    Sugimoto, Chika
    Kohno, Ryuji
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2014, E97A (11) : 2139 - 2146
  • [6] VARIATIONAL BAYESIAN INFERENCE FOR NONLINEAR ACOUSTIC ECHO CANCELLATION USING ADAPTIVE CASCADE MODELING
    Malik, Sarmad
    Enzner, Gerald
    2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2012, : 37 - 40
  • [7] NONLINEAR ACOUSTIC ECHO CANCELLATION USING FEEDBACK
    Shah, Pratik
    Lewis, Ian
    Grant, Steven
    Angrignon, Sylvain
    2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, : 610 - 614
  • [8] Nonlinear Acoustic Echo Cancellation with Deep Learning
    Ivry, Amir
    Cohen, Israel
    Berdugo, Baruch
    INTERSPEECH 2021, 2021, : 4773 - 4777
  • [9] Recursive Bayesian Control of Multichannel Acoustic Echo Cancellation
    Malik, Sarmad
    Enzner, Gerald
    IEEE SIGNAL PROCESSING LETTERS, 2011, 18 (11) : 619 - 622
  • [10] A Linear Neural Network-Based Approach to Stereophonic Acoustic Echo Cancellation
    Bekrani, Mehdi
    Khong, Andy W. H.
    Lotfizad, Mojtaba
    IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2011, 19 (06): : 1743 - 1753
12345