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PEVD-Based Adaptive ICA for Acoustic Echo Cancellation During Double-Talk Situation

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Abstract

This paper proposed a new polynomial eigenvalue decomposition (PEVD)-based adaptive independent component analysis (ICA) for acoustic echo cancellation (AEC) during double-talk situation. The cancellation of acoustic echo using an adaptive filter fails during the double-talk situation. In this proposed method, the acoustic echo signal is removed from the near-end speech signal during the double-talk case without an explicit double-talk detector by using adaptive ICA techniques. The PEVD is a pre-processing phase before the implementation of adaptive ICA techniques. The PEVD is used to decorrelate the echo signal from the near-end signal, and it is also more effective with convolutive mixtures. The proposed method incorporates the PEVD pre-processing phase for AEC which aims at increasing the performance and it also compares the performance of echo cancellation with other singular value decomposition- and eigenvalue decomposition-based ICA techniques. Furthermore, the suggested technique is similarly compared to the traditional time-domain, frequency-domain adaptive filters, frequency-domain Kalman filter, and PEVD-based adaptive Kalman filter. Our simulation result shows that when compared with other pre-processing methods, the proposed PEVD-based ICA yields higher echo cancellation and less computation time.

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Authors and Affiliations

  1. School of Electronics Engineering (SENSE), VIT University, Chennai, Tamil Nadu, India, 600127

    K. Mohanaprasad, V. Soni Ishwarya & Abraham Sudharson Ponraj

  2. Department of Electronics and Communication Engineering, IIITDM, Kancheepuram, Chennai, Tamil Nadu, India, 600127

    Asutosh Kar

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  1. K. Mohanaprasad
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  2. V. Soni Ishwarya
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  3. Abraham Sudharson Ponraj
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  4. Asutosh Kar
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Mohanaprasad, K., Soni Ishwarya, V., Ponraj, A.S. et al. PEVD-Based Adaptive ICA for Acoustic Echo Cancellation During Double-Talk Situation. Circuits Syst Signal Process 41, 3570–3591 (2022). https://doi.org/10.1007/s00034-022-01956-1

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  • DOI: https://doi.org/10.1007/s00034-022-01956-1

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