We summarize our research results on an innovative approach to making smart meeting rooms accessible to hands-free users. Specifically, we developed an autodirective system to acquire speech in a noisy room using a microphone array, and to identify the speech from a privileged speaker among others in real time. We successfully established that a commercial speaker-dependent speech recognition product could recognize beamformed speech acquired using our autodirective algorithm. We used the NIST Smart Flow System and the Mk-III microphone array developed by the National Institute of Standards and Technology to conduct our experiments.