%0 Journal Article
	%A Rajkishore Prasad and  Hiroshi Saruwatari and  Kiyohiro Shikano
	%D 2008
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 23, 2008
	%T An ICA Algorithm for Separation of Convolutive Mixture of Speech Signals
	%U https://publications.waset.org/pdf/8106
	%V 23
	%X This paper describes Independent Component Analysis (ICA) based fixed-point algorithm for the blind separation of the convolutive mixture of speech, picked-up by a linear microphone array. The proposed algorithm extracts independent sources by non- Gaussianizing the Time-Frequency Series of Speech (TFSS) in a deflationary way. The degree of non-Gaussianization is measured by negentropy. The relative performances of algorithm under random initialization and Null beamformer (NBF) based initialization are studied. It has been found that an NBF based initial value gives speedy convergence as well as better separation performance

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