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

arXiv 2401.03473 ↗First posted 7 Jan 2024cs.SD cs.AI eess.AScited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 13 of its 14 references that are in the map. First posted on arXiv 7 Jan 2024.

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13 of 14 references.

References · 13

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  9. 2023The NPU-ASLP System for Audio-Visual Speech Recognition in MISP 2022 Challengecited by 5
  10. 2023The USTC-NERCSLIP Systems for the CHiME-7 DASR Challengecited by 4
  11. 2023A Deep Representation Learning-based Speech Enhancement Method Using Complex Convolution Recurrent Variational Autoencodercited by 3
  12. 2022Royalflush Speaker Diarization System for ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challengecited by 2
1 more
  1. 2022The ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC): Dataset, Tracks, Baseline and Resultscited by 1

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