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Blind Audio Source Separation: State-of-Art

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2015
Authors:
Abouzid Houda, Chakkor Otman
10.5120/ijca2015906491

Abouzid Houda and Chakkor Otman. Article: Blind Audio Source Separation: State-of-Art. International Journal of Computer Applications 130(4):1-6, November 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Abouzid Houda and Chakkor Otman},
	title = {Article: Blind Audio Source Separation: State-of-Art},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {130},
	number = {4},
	pages = {1-6},
	month = {November},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

The word is surrounded by sounds what makes it difficult when it becomes impossible to obtain a desired speech because of the noisy environment. Thus, digital signal processing is a discipline that interest to extract useful information on physical phenomena from measures generally disturbed. Its most well know problem is the blind sources separation which is a specific method that in which several signals have been mixed and the purpose is to recover the original component signals from the mixed signals without any knowledge about the sources.

This work, provides some of many existing algorithms solving the problem of blind source separation the most known in literature and at the end of this article there are some examples applied to real-world audio separation tasks using Matlab.

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Keywords

Blind source separation (BSS); convolutive mixture; instant linear mixture; independent component analysis; principle component analysis.