Sharif Digital Repository

Blind Source Separation (BSS) aims to recover multiple source signals from mixtures without prior knowledge of the sources or the mixing process. This manuscript focuses on speech separation in convolutive mixtures, aiming to recover speech signals from mixtures that are linear combinations of the filtered versions of original signals. Most recent methods for blind source separation in both instantaneous and convolutive mixtures typically involve transforming time-domain mixed signals into the time-frequency domain using Short-Time Fourier Transform (STFT) and conducting the separation in this domain. Broadly, the separation process is followed by two main approaches. The first involves...