The 5th CHiME Speech Separation and Recognition Challenge (CHiME-5) [1] considers the problem of distant multi-microphone conversational speech recognition in everyday home environments. In this challenge, we take advantage of several beamforming techniques, powerful TDNN-F [2] acoustic models, pruned lattice-rescoring algorithm as well as ROVER [3] based system fusion. Compared to the official base-line, our best system achieves around 18% and 17% absolute WER reduction on the development and test sets respectively.