On Semi-Blind Source Separation-Based Approaches to Nonlinear Echo Cancellation Based on Bilinear Alternating Optimization

Wang X, Yang Y, Brendel A, Ueda T, Makino S, Benesty J, Kellermann W, Chen J (2024)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2024

Journal

IEEE/ACM Transactions on Audio, Speech and Language Processing Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 32

Pages Range: 2973-2987

URI: https://ieeexplore.ieee.org/document/10542383/authors

DOI: 10.1109/TASLP.2024.3407676

Abstract

Acoustic echo cancellation (AEC) is a crucial task in full duplex communications. As conventional linear filtering approaches are ineffective to deal with double-talk, various semi-blind source separation (SBSS)-based AEC algorithms are deceived, most of which are formulated and implemented in the frequency domain based on the multiplicative transfer function (MTF) model for computational efficiency. To avoid large latency and in order to deal with loudspeaker nonlinearities, the convolutive transfer function (CTF) model and odd power series expansion are leveraged, which are employed by numerous SBSS-based nonlinear AEC (SBSS-NAEC) algorithms. Conventional SBSS-NAEC methods estimate the series expansion coefficients and the CTF filter simultaneously making the number of free parameters to estimate large. Hence, the corresponding algorithms are computationally expensive and are difficult to optimize. In this work, we propose to decouple the series expansion coefficients and the CTF filters into a bilinear form and present a bilinear alternating optimization framework for estimating the model parameters. An alternating iterative projection (AIP) algorithm and an alternating element-wise iterative source steering (AEISS) algorithm are proposed. As the bilinear representation consists of less parameters compared to the conventional methods, the proposed algorithms not only improve the AEC performance but also reduce the computational complexity, which is validated by comprehensive simulations and experiments.

Authors with CRIS profile

Walter Kellermann Professur für Signalverarbeitung

Involved external institutions

Northwestern Polytechnical University / 西北工业大学 (NPU/NWPU) CN China (CN) Fraunhofer-Institut für Integrierte Schaltungen (IIS) DE Germany (DE) Waseda University / 早稲田大学 JP Japan (JP) The Énergie Matériaux Télécommunications (Energy Materials Telecommunications) Research Centre CA Canada (CA)

How to cite

APA:

Wang, X., Yang, Y., Brendel, A., Ueda, T., Makino, S., Benesty, J.,... Chen, J. (2024). On Semi-Blind Source Separation-Based Approaches to Nonlinear Echo Cancellation Based on Bilinear Alternating Optimization. IEEE/ACM Transactions on Audio, Speech and Language Processing, 32, 2973-2987. https://doi.org/10.1109/TASLP.2024.3407676

MLA:

Wang, Xianrui, et al. "On Semi-Blind Source Separation-Based Approaches to Nonlinear Echo Cancellation Based on Bilinear Alternating Optimization." IEEE/ACM Transactions on Audio, Speech and Language Processing 32 (2024): 2973-2987.

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