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An Echo Canceller Robust to Noise and Residual Echo

  • Kim, Hyun-Tae (Department of Multimedia Engineering, Dongeui University) ;
  • Park, Jang-Sik (Department of Electronics Engineering, Dongeui Institute of Technology)
  • Received : 2010.10.05
  • Accepted : 2010.10.31
  • Published : 2010.12.31

Abstract

When we talk with hands-free in a car or noisy lobby, the performance of the echo canceller degrade because background noise added to echo caused by the distance from mouth to microphone is relatively long. It gives a reason for necessity of noise-robust and high convergence speed adaptive algorithm. And if acoustic echo canceller operated not perfectly, residual signal going through the echo canceller to far-end speaker remains residual echo, which degrade quality of talk. To solve this problem, post-processing needed to remove residual echo ones more. In this paper, we propose a new acoustic echo canceller, which has noise robust and high convergence speed, linked with linear predictor as a post-processor. By computer simulation, it is confirmed that the proposed algorithm shows better performance from acoustic interference cancellation (AIC) viewpoint.

Keywords

References

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