Back to Search Start Over

ICMC-ASR: The ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition Challenge

Authors :
Wang, He
Guo, Pengcheng
Li, Yue
Zhang, Ao
Sun, Jiayao
Xie, Lei
Chen, Wei
Zhou, Pan
Bu, Hui
Xu, Xin
Zhang, Binbin
Chen, Zhuo
Wu, Jian
Wang, Longbiao
Chng, Eng Siong
Li, Sun
Publication Year :
2024

Abstract

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.<br />Comment: Accepted at ICASSP 2024

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2401.03473
Document Type :
Working Paper