ABSTRACT
Speech signal extraction is becoming increasingly significant in a range of applications, including mobile phones, conferencing equipment, and other similar devices. This project shows how to separate voice sounds in a noisy environment using a blind method. It is a mechanism for isolating an independent signal from a mixed signal that saves energy. To separate speech signals, the proposed technique uses Fast Independent Component Analysis (FastICA). The study looks into the effects of the environment, like noise, the number of locations, and their sources, on the method’s performance.
