In this paper we study robust speaker recognition in far-field microphone situations such as meeting scenarios. By applying reverberation compensation and feature warping we achieved significant improvements under mismatched training-testing conditions. To capture useful information from multiple distant microphones, two approaches for multiple channel combination are investigated. This leads to 84.1 % and 78.1% relative improvements on the distant microphone database. Furthermore, we tested the resulting system on the ICSI Meeting Corpus. The improvements are also very high on this task, which indicates that our system is robust to changing conditions in a remote microphone setting