Blind Speech Separation Based on Homotopy Non-linear Model

Author

Ming, Ma ; Yu-lin, Yang ; Wen-juan, Guo ; Qing-hai, Zhang ; Wen-hao, Xu

Author_Institution

Dept. of Avionics Eng., First Aeronaut. Inst. of the Air Force, Xinyang

fYear

2008

fDate

30-31 Dec. 2008

Firstpage

369

Lastpage

372

Abstract

Blind source extraction (BSE) algorithm based on linear prediction model can be used to separate speech signals. The best advantage of this algorithm is that it is very simple and easy to compute. This algorithm is based on the fact that speech signals can be modeled by linear prediction process. But homotopy non-linear model is better than linear prediction model for speech signals. A new BSE algorithm based on homotopy non-linear model is proposed to separate speech signals. Computer simulations show that the proposed algorithm has better performance than the BSE algorithm based on linear prediction model.

Keywords

blind source separation; speech processing; blind source extraction algorithm; blind speech separation; homotopy nonlinear model; linear prediction model; Biomedical computing; Blind source separation; Computer simulation; Higher order statistics; Predictive models; Signal processing; Signal processing algorithms; Source separation; Speech processing; Vectors; blind source extraction(BSE); blind source separation (BSS); homotopy non-linear model (HNM); linear predictor (NLP);

fLanguage

English

Publisher

ieee

Conference_Titel

MultiMedia and Information Technology, 2008. MMIT '08. International Conference on

Conference_Location

Three Gorges

Print_ISBN

978-0-7695-3556-2

Type

conf

DOI

10.1109/MMIT.2008.187

Filename

5089136