Abstract
In this paper, we introduce a Fast Normalized Least Mean square algorithm (FNLMS) to eliminate the acoustic echo in the presence of double talk signal. When the near-end speech is present the performance of the adaptive filtering is degraded, thus, a double-talk detector (DTD) must be used for controlling the Acoustic Echo Cancellation (AEC). A Normalized cross correlation (NCC) method applied to FNLMS algorithm is proposed in this paper. Experimental results using different input signals and real measured impulse response (audio-conference room), show a fast convergence and detection of double-talk of the proposed algorithm compared with NLMS algorithm.
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Hassani, I., Arezki, M., Benallal, A. (2021). The Fast-NLMS Algorithm for Acoustic Echo Cancellation with Double-Talk Detection. In: Bououden, S., Chadli, M., Ziani, S., Zelinka, I. (eds) Proceedings of the 4th International Conference on Electrical Engineering and Control Applications. ICEECA 2019. Lecture Notes in Electrical Engineering, vol 682. Springer, Singapore. https://doi.org/10.1007/978-981-15-6403-1_90
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DOI: https://doi.org/10.1007/978-981-15-6403-1_90
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