This paper presents the embedded audition for robotics (EAR) project internally developed at LAAS and its application to speaker localization and extraction. Hardware and software issues are first thoroughly depicted, concerning the development of an auditory sensor based on an array of microphones, a homemade dedicated acquisition chain and a FPGA based processing board. Then, the EAR sensor is assessed against various scenarios, in real noisy robotics environments. Localization results are presented when a speaker emits an utterance in the presence of a disturbing source. These validate the underlying theory and suggest further theoretical and experimental developments.