Enhancement of speech signal based on application of the Maximum a Posterior Estimator of Magnitude-Squared Spectrum in Stationary Bionic Wavelet Domain

In this paper we propose a new speech enhancement technique based on the application of the Maximum a Posterior Estimator of Magnitude-Squared Spectrum (MSS-MAP) in Stationary Bionic Wavelet Domain. This technique consists at first step in applying the Stationary Bionic Wavelet Transform (SBWT) to the noisy speech signal and then applying the Maximum A Posterior Estimator of MagnitudeSquared Spectrum, to each stationary bionic wavelet sub-band in order to enhance it. The enhanced speech signal is obtained by applying the inverse of the SBWT, SBWT to enhanced stationary wavelet coefficients. In order to evaluate the proposed technique, we have compared it some previous works such as MSS-MAP based denoising technique. This evaluation was performed on a number of Arabic speech sentences corrupted by different types of noise such as Gaussian white, Car, Tank, F16 and Pink noises. The obtained simulation results show that the proposed technique outperforms the others techniques used in our evaluation.