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
         
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/CCDC.2008.4598185