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Frequency Domain Acoustic Echo Suppression Based on Boundary Condition  

Lee, Kyu-Ho (Department of Electronics Engineering, Inha University)
Chang, Joon-Hyuk (Department of Electronics Engineering, Inha University)
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Abstract
In this paper, we propose a novel approach of an acoustic echo cancellation (AEC) algorithm which is differently adopted in the relevant period condition by the suppression parameter of a parametric wiener filter (PWF). The PWF uses the suppression parameter to compensate uncertainty of acoustic echo signal estimation. The existing PWF method using the fixed suppression parameter derives the distortion of the near-end signal at the double-talk. To solve this problem, the boundary condition is devised using decision of the double-talk detection (DTD) algorithm and voice activity detector (VAD). The boundary condition makes it possible to treat differently depending on the case of the single-talk and double-talk. According to the experimental results, the proposed approach is found to be effective for acoustic echo cancellation using the boundary condition.
Keywords
Acoustic Echo Suppression(AES); Parametric Wiener Filter (PWF); Double-Talk Detection(DTD); Voice Activity Detector (VAD);
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