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A New Approach of Adaptive Filtering Updating for Acoustic Echo Cancellation

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Speech and Computer (SPECOM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11658))

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Abstract

This paper addresses the acoustic echo issue in communication systems which affects the quality of the transmitted speech. This echo occurs due to the acoustic coupling between the loudspeaker and the microphone of the voice terminals. Acoustic echo cancellation (AEC) based on adaptive filtering is generally used to remove this undesirable echo where an adaptive algorithm updates the filter coefficients iteratively until the convergence occurred. In this paper, we propose a new approach of the filter coefficients updating for improving the performance of the adaptive filtering algorithms. The proposed approach is evaluated using the normalized least mean squares (NLMS) algorithm with stationary and non-stationary input signals. The simulation results demonstrate that the proposed approach outperforms the original NLMS algorithm in terms of steady-state error reduction and echo return loss enhancement (ERLE) improvement.

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Author information

Authors and Affiliations

  1. USTHB, Faculty of Electronics and Computer Science, LCPTS, Speech Communication and Signal Processing Laboratory, P.O. Box 32, 16111, Bab Ezzouar, Algiers, Algeria

    Mahfoud Hamidia & Abderrahmane Amrouche

Authors
  1. Mahfoud Hamidia
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  2. Abderrahmane Amrouche
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Corresponding author

Correspondence to Mahfoud Hamidia .

Editor information

Editors and Affiliations

  1. Utrecht University, Utrecht, The Netherlands

    Albert Ali Salah

  2. St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, Russia

    Alexey Karpov

  3. Moscow State Linguistic University, Moscow, Russia

    Rodmonga Potapova

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Hamidia, M., Amrouche, A. (2019). A New Approach of Adaptive Filtering Updating for Acoustic Echo Cancellation. In: Salah, A., Karpov, A., Potapova, R. (eds) Speech and Computer. SPECOM 2019. Lecture Notes in Computer Science(), vol 11658. Springer, Cham. https://doi.org/10.1007/978-3-030-26061-3_16

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  • DOI: https://doi.org/10.1007/978-3-030-26061-3_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26060-6

  • Online ISBN: 978-3-030-26061-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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