Abstract
Beamforming (BF) and Blind Source Separation (BSS) have similar goals in terms of signal separation. Combining both these techniques to overcome the drawbacks faced in both the processes is always an interesting task. BSS suffers a serious issue of permutation ambiguity which can be solved by combining it with BF. While combining both BSS and BF, Short Time Fourier Transform (STFT) is used in order to have the information about the signal's frequency content and the variations of its content over time since all the time related information is lost while we deal the BSS problem in frequency domain. The window length in STFT has a serious effect on the Signal to Interference Ratio (SIR) while the separation of signal is done. The result is tested in a free field environment with two speech sources.
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