Speech Enhancement Based on MAP Estimation with a Variable Speech Distribution
Yuta TSUKAMOTO, Arata Kawamura, Youji Iiguni · 2006
A novel speech enhancement algorithm based on MAP estimation is proposed in this paper. The proposed speech enhancer uses a variable speech spectral distribution adjusted by the sum of power spectral densities. In a speech segment, the variable speech spectral distribution approaches to a Rayleigh density to keep the quality of the enhanced speech. While in a non-speech segment, it approaches to an exponential density so that the proposed speech enhancer reduces the noise strongly. Simulation results show the effectiveness of the proposed method