This paper describes the Interactive Systems Lab's Meeting transcription system, which performs segmentation, speaker clustering as well as transcriptions of conversational meeting speech. The system described here was evaluated in NIST's RT-04S "Meeting" speech evaluation and reached the lowest word error rates for the distant microphone conditions. Also, we compare the performance of our Broadcast News and the most recent Switchboard system on the Meeting data and compare both with the newly-trained meeting recognizer. Furthermore, we investigate the effects of automatic segmentation on adaptation. Our best meeting system achieves a WER of 44.5% on the "MDM" condition in NIST's RT-04S evaluation.