An Improved MMSE-LSA Speech Enhancement Algorithm Based on Human Auditory Masking Property

An improved speech enhancement algorithm based on minimum mean square error of log-spectral amplitude estimator and masking property of human auditory system is proposed in this paper. The short-time spectral amplitude is estimated based on the minimum mean square error of log-spectral amplitude estimator. Residual musical noise can be masked by exploiting the masking properties of the human auditory system and a psycho acoustically motivated weighting filter is designed. The performance of our proposed algorithm is tested under various types of noise and at different SNR levels, and the results show that our proposed algorithm gives a superior performance as compared to the conventional algorithm and the residual musical noise is effectively masked.