A New Approach for Speech Enhancement Based On Singular Value Decomposition and Wavelet Transform

n this paper a new approach for speech enhancement is presented. The proposed algorithm is based on singular value decomposition (SVD) and wavelet transform. A model of contaminant noise is estimated by using SVD in the recommended method and then, using of noise estimation determines thresholding value. Needlessness of silence frame in order to estimate the noise model is an advantage of suggested method. Singular value tools give us a robust method of feature extraction from speech signal frames as well. The qualitative and quantitative evaluation shows that our proposed method highly improves the performance of speech enhancement based on wavelet thresholding