2019•International Journal of Recent Technology and Engineering (IJRTE)Open access

Gaussian model based Source Separation Implementation for Speech Separation

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Abstract

This Paper is an attempt to develop the Independent Component Analysis (ICA) based source separation implementation on the speech signals. The blind source separation technique which work on the basis of the Gaussian process is developed and the performance is analyzed. Blind source separation is the process in which the source separation of the main signal and the noise is separated without any reference available. Matlab based implementation is carried out and the results are obtained. The results thus obtained are satisfactory.

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Key concepts: Blind signal separation, Independent component analysis, Source separation, Separation (statistics), Computer science, MATLAB, Separation process, Noise (video)