  To promote speech processing and recognition research in driving scenarios,
we build on the success of the Intelligent Cockpit Speech Recognition Challenge
(ICSRC) held at ISCSLP 2022 and launch the ICASSP 2024 In-Car Multi-Channel
Automatic Speech Recognition (ICMC-ASR) Challenge. This challenge collects over
100 hours of multi-channel speech data recorded inside a new energy vehicle and
40 hours of noise for data augmentation. Two tracks, including automatic speech
recognition (ASR) and automatic speech diarization and recognition (ASDR) are
set up, using character error rate (CER) and concatenated minimum permutation
character error rate (cpCER) as evaluation metrics, respectively. Overall, the
ICMC-ASR Challenge attracts 98 participating teams and receives 53 valid
results in both tracks. In the end, first-place team USTCiflytek achieves a CER
of 13.16% in the ASR track and a cpCER of 21.48% in the ASDR track, showing an
absolute improvement of 13.08% and 51.4% compared to our challenge baseline,
respectively.
