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Author Ou, Shifeng ♦ Wang, Xianyun ♦ Zhang, Xiaojun ♦ Gao, Ying
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Laplacian Factor ♦ Original Method ♦ Parameter Suffer ♦ Classical Method ♦ Accurate Result ♦ Discrete Cosine Transform Domain ♦ Noisy Condition ♦ Speech Enhancement ♦ Minimum Mean Square Error ♦ Estimated Laplacian Factor ♦ Estimation Theory ♦ Laplacian Model Priori ♦ Novel Algorithm ♦ Crucial Part ♦ Residual Noise ♦ Clean Speech Component ♦ Two-step Technique ♦ Improved Performance ♦ Different Kind ♦ Time Delay Bias ♦ Simulation Result
Abstract The estimation of Laplacian factor is a crucial part of speech enhancement algorithms using Laplacian model priori. Classical methods for the estimation of this parameter suffer from the residual noise or time delay bias. In this paper, a novel algorithm called two-step technique for the estimation of Laplacian factor is proposed in discrete cosine transform domain. Based on the estimation theory of minimum mean square error (MMSE), the proposed algorithm computes directly the amplitude of the clean speech component to refine the estimated Laplacian factor in the original method, and thus the accurate result can be attained. Simulation results under different kinds of noisy conditions and levels demonstrate that the proposed algorithm possesses improved performance than that of the original method.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study