Adaptive Noise Canceller Algorithm with an SNR-Based Stepsize and Controlled Averaging.

This paper proposes a noise canceller adaptation algorithm with an SNR-based stepsize and controlled averaging. A first and a second SNR with different averaging constants are used one after the other to control the stepsize in adaptation. The averaging constants reflect the accuracy of the SNR estimate such that lower accuracy is offset with a larger averaging constant. The first SNR estimate with lower accuracy guarantees the initial coefficient growth whereas the second SNR estimate provides more accurate adaptation control. Changeover from the first to the second SNR estimate takes place when the coefficient growth is saturated. Evaluations with clean speech and noise recorded at a busy station demonstrate that the coefficient error by the proposed algorithm is as much as 6dB smaller than that by conventional algorithms with a constant averaging.