In speech signal extraction the aim is to extract human speech in a physical environment by using microphones. In any real world environment there are many disturbance sources that cause unwanted sound pressure, which in turn may degrade the comprehension of the speech at the microphones. This licentiate thesis deals with the solution to this problem. Different approaches are proposed to solve the problem for many accounted scenarios in real life.