A Weighted Recursive Averaging Approach for Noise Spectrum Estimation

In the paper, we present a new noise spectrum estimation algorithm which is simple and effective for non-stationary background noise environments. The new proposed algorithm continuously updates the estimated noise by weighted noisy speech with a constant smoothing factor, the weighting factor is adjusted by an estimated signal-tonoise ratio (SNR), and the SNR is controlled by the local energy which be obtained by frequency smoothing of the noisy power spectrum in each frame. Objective experimental results and a subjective comparison show that the improved noise estimation algorithm when integrated in speech enhancement is preferred over the competitive noise estimation algorithms.