A lowdistortion noise canceller with a novel stepsize control and conditional cancellation
Akihiko K. Sugiyama, Ryoji Miyahara · Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European · 2014
This paper proposes a low-distortion noise canceller with a novel stepsize control and conditional cancellation. The coefficient adaptation stepsize is controlled by an estimated signal-to-noise ratio (SNR) at the primary input and a relative coefficient magnitude normalized by the reference power. The SNR is estimated based on the noise replica and the output, and converted to a stepsize by an exponential function. This stepsize provides robustness to interference by the desired speech. Conditional cancellation guarantees that the noisy signal power is reduced by noise-replica subtraction. Comparison of the proposed noise canceller with five popular state-of-the-art commercial smartphones demonstrates good enhanced-signal quality with as much as 0.6 PESQ improvement.