  This paper summarizes our team's efforts in both tracks of the ICMC-ASR
Challenge for in-car multi-channel automatic speech recognition. Our submitted
systems for ICMC-ASR Challenge include the multi-channel front-end enhancement
and diarization, training data augmentation, speech recognition modeling with
multi-channel branches. Tested on the offical Eval1 and Eval2 set, our best
system achieves a relative 34.3% improvement in CER and 56.5% improvement in
cpCER, compared to the offical baseline system.
