Speech enhancement based on spectral subtraction in wavelet domain

In this paper we propose a new approach for speech enhancement. The method used to remove the noise components is a combination of two methods: Wavelet de-noising and spectral subtraction. The idea is to apply the spectral subtraction to wavelet approximations and details coefficients. A new parameter for spectral subtraction in unvoiced speech frames is introduced and the existing power factor in spectral subtraction method is improved. Also, for reduction of musical noise, we propose to use iterative Wiener filtering. Experimental results demonstrate that the proposed speech enhancement algorithm is very promising.