A Low-Distortion Noise Canceller and Its Learning Algorithm in Presence of Crosstalk

Akihiro HIRANO, Kenji NAKAYAMA, Shinya ARAI and Masaki DEGUCHI

Summary

This paper proposes a low-distortion noise canceller and its learning algorithm which is robust against crosstalk and is applicable for continuous sounds. The proposed canceller consists of two stages: cancellation of the crosstalk and cancellation of the noise. A recursive filter reduces the number of computations for noise cancellation stage. Separate filters for the adaptation and the filtering are introduced for crosstalk cancellation. Computer simulations show 10dB improvement of the error power.

IEICE Trans. Fundamentals, Vol. E84-A, No. 2, pp. 414-421, 2001

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