Speech enhancement using wavelet transform with constrained thresholds

[[abstract]]Although the power spectral subtraction (PSS) in frequency domain and the soft/hard thresholding function in wavelet domain have been successfully applied in speech enhancement, however they increase the probability of negative error and generate musical residual noise. In this paper, we propose a novel scheme that adapts the weight to wavelet coefficients (WCs) for each subband. The weights of all subbands form a weighting function, it can track the speech variation in each subband. Multiplying the weighting function to WCs, the enhanced speech is obtained by inverse wavelet transforming (IWT) the modified WCs. The experiments show that the proposed speech enhancement method can efficiently eliminate the additive noise. Moreover, it is almost free from the musical residual noise