Mobile robots, in general, and service robots in human environments, in particular, need to have versatile abilities to perceive and interact with their environment. Biologically inspired sound source localization is an interesting ability for such a robot. When combined with other sensory input both the sound localization and the general interaction abilities can be improved. In particular, spatial filtering can be used to improve the signal-to-noise ratio of speech signals emanating from a given direction in order to enhance speech recognition abilities. In this paper we investigate and discuss the combination of sound source localization and laser-based object recognition on a mobile robot.