DocumentCode :
437000
Title :
The study on application of linear prediction filter in blind source separation
Author :
Zhao Zhijin ; Kellermann, Walter ; Aichner, R.
Author_Institution :
Hangzhou Inst. of Electron. Eng., China
Volume :
1
fYear :
2004
fDate :
31 Aug.-4 Sept. 2004
Firstpage :
331
Abstract :
To improve the separated speech quality, linear prediction filter (LPF) has been used, but there is no explanation why to be able to guarantee source separation by BSS algorithms after linear prediction filtering. In this paper the theoretical analysis about this issue is presented, and the concept of the LPF application is illustrated. The experimental results demonstrate their correctness.
Keywords :
blind source separation; filtering theory; matrix algebra; prediction theory; speech processing; blind source separation; linear prediction filter; separated speech quality; Algorithm design and analysis; Blind source separation; Equations; Filtering algorithms; Noise robustness; Nonlinear filters; Prediction algorithms; Signal analysis; Source separation; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
Type :
conf
DOI :
10.1109/ICOSP.2004.1452649
Filename :
1452649
Link To Document :
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