DocumentCode
2569143
Title
The blind separation of audio signals based on Genetic Algorithm
Author
Liu, Xiaozhi ; Liu, Lihua ; Yinghua, Y.
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
fYear
2008
fDate
2-4 July 2008
Firstpage
4521
Lastpage
4524
Abstract
The paper researchs the BSS application in audio separation. It gives a detailed analysis of audio mixtures separation, including a brief introduction of genetic algorithm and proposes an optimized analysis model for the audio separation. The analysis model avoids shortcomings of the traditional analysis which do not have a good as-tringency and the astringency influenced by step-length.
Keywords
audio signal processing; blind source separation; genetic algorithms; independent component analysis; BSS application; audio mixture separation; audio signals; blind source separation; genetic algorithm; independent component analysis; optimized analysis model; Algorithm design and analysis; Blind source separation; Educational institutions; Genetic algorithms; Independent component analysis; Information science; MATLAB; Signal processing; Source separation; Speech processing; Audio Separation; Blind Source Separation; Genetic Algorithm; Independent Component Analyse;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-1733-9
Electronic_ISBN
978-1-4244-1734-6
Type
conf
DOI
10.1109/CCDC.2008.4598185
Filename
4598185
Link To Document