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This repo releases the trained LLaMA-adapter weights in paper "Large Language Models are Efficient Learners of Noise-Robust Speech Recognition."

GitHub: https://github.com/YUCHEN005/RobustGER

Data: https://huggingface.co/datasets/PeacefulData/Robust-HyPoradise

Model: This repo

If you consider this work would be related or useful for your research, please kindly consider to cite the work in ICLR 2024. Thank you.

@inproceedings{hu2024large,
  title={Large Language Models are Efficient Learners of Noise-Robust Speech Recognition},
  author={Hu, Yuchen and Chen, Chen and Yang, Chao-Han Huck and Li, Ruizhe and Zhang, Chao and Chen, Pin-Yu and Chng, Eng Siong},
  booktitle={International Conference on Learning Representations},
  year={2024}
}
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Dataset used to train PeacefulData/RobustGER