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An efficient noise estimation algorithm for speech enhancement is proposed. The noisy speech is decomposed into subband signals and the subband noise estimate is updated by adaptively smoothing the noisy signal power. The smoothing parameter is chosen as a function of the estimated signal-to-noise ratio (SNR). This noise estimation technique gives reliable results even at very low SNRs.