When recording speech signals with centrally positioned microphones, the sensor signal usually contains components from various acoustic sources. For further processing of the signals, the sensor signal must be decomposed into the different source signals. This work deals with various concepts for separating speech signals. By using multiple microphones, position-specific features for the speakers can be identified and utilized for separation.