Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Introduction to Blind Source Separation of Audio Signals using ICA

Author : Mrs. K. Jyothsna Raj Kumari 1 Sri. T.Vinod Kumar 2 Sri. S.Satish Kumar 3

Date of Publication :7th August 2016

Abstract: One of the requirements in the field of signal processing is to identify an information signal from a mixture of incoming signals. The input signal is assumed to be a mixture of more than one information signals. This paper addresses the blind signal separation (BSS) problem. The case of speech signals was considered. For the efficient separation of speech signals from a mixture of multiple speech signals, a two level signal scheme was proposed. In the first step, a mixture process was modeled. In the second level, a blind source separation algorithm was used to separate the independent source signals. One of the goals of this paper is to provide insight on some advances in algorithms, which are ideally suited for blind signal separation of speech mixtures. More importantly, specific emphasis is given in practical applications of the developed BSS algorithms associated with real-life scenarios.

Reference :

    1. Blind Signal Separation, Wikipedia. [Online] 2011. [Cited:May 24,2011.] http://en.wikipedia.org/wiki/Blind_signal_separa tion
    2. David Knezevic,"Blind Source Separation for Signal Processing Applications", University of Western Australia, 1st November 2004.
    3. Fast ICA, Legacy.ics.tkk. [Online] 2011. [Cited: Jul 2,2011] http://cis.legacy.ics.tkk.fi/aapo/papers/IJCNN99_ tutorialweb/node32.html.
    4. Introduction, Makafi. [Online] 2011.[Cited: Feb 4, 2011.] http://www.makhfi.com/tutorial/introduction.htm

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