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Separation of blind source signals from a mixture remains an open issue. Many algorithms have been proposed for blind source separation (BSS) in the literature, but none outperforms the other. Most of the earlier BSS methods were based on the assumption that the sources are independent and non-Gaussian. From the literature, it is observed that speech signals are modelled using Gaussian models. This...
Several methods have been explained for blind source separation (BSS) in the literature. Those methods fail when considered for separation of speech signals. This paper mainly focuses on blind speech signal separation from the observations using canonical correlation. The performance of the proposed method is evaluated in terms of signal to interference ratio (SIR) and time domain waveforms of separated...
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