Datasets:
metadata
license: apache-2.0
language_creators:
- expert-generated
task_categories:
- text-generation
tags:
- generative error correction
- large language model
- LLaMA
pretty_name: Robust HyPoradise
size_categories:
- 100K<n<1M
language:
- en
HypothesesParadise
This repo releases the Robust HyPoradise dataset in paper "Large Language Models are Efficient Learners of Noise-Robust Speech Recognition."
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}
}