The NUS-HLT System for ICASSP2024 ICMC-ASR Grand Challenge

Meng Ge, Yizhou Peng, Yidi Jiang, Jingru Lin, Junyi Ao +4 more
12/26/2023
eess.AScs.AI

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Abstract

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.

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Cite this paper

@article{ge2023nushlt,
  title  = {The NUS-HLT System for ICASSP2024 ICMC-ASR Grand Challenge},
  author = {Meng Ge and Yizhou Peng and Yidi Jiang and Jingru Lin and Junyi Ao and Mehmet Sinan Yildirim and Shuai Wang and Haizhou Li and Mengling Feng},
  year   = {2023},
  eprint = {2312.16002},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2312.16002v1}
}

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