Application of Blind Signal Separation in Speech Processing.

Abstract: The blind signal separation which has many potential usage, especially in the respects of such as wireless communication, medical analysis, geographical exploration, and image enhancement and recognition is a developing basic research direction. This paper mainly studies the application of it in speech processing and proposes a mathematical description of the blind signal separation problem in including mathematical model for blind separation problem and basic assumptions to ensure the blind separation to be solvable. It focuses on the analysis of the blind signal separation based on instantaneous mixed mode. It also proposes speech blind signal separation algorithm based on instantaneous mixed circumstance and performs computer emulation and signal-to –noise-ration analysis to confirm the effectiveness of the algorithm. [Copyright &y& Elsevier]