  We present the NVIDIA NeMo team's multi-channel speech recognition system for
the 7th CHiME Challenge Distant Automatic Speech Recognition (DASR) Task,
focusing on the development of a multi-channel, multi-speaker speech
recognition system tailored to transcribe speech from distributed microphones
and microphone arrays. The system predominantly comprises of the following
integral modules: the Speaker Diarization Module, Multi-channel Audio Front-End
Processing Module, and the ASR Module. These components collectively establish
a cascading system, meticulously processing multi-channel and multi-speaker
audio input. Moreover, this paper highlights the comprehensive optimization
process that significantly enhanced our system's performance. Our team's
submission is largely based on NeMo toolkits and will be publicly available.
