AudioLLMs/earnings22_test

@article{del2022earnings, title={Earnings-22: A practical benchmark for accents in the wild}, author={Del Rio, Miguel and Ha, Peter and McNamara, Quinten and Miller, Corey and Chandra, Shipra}, journal={arXiv preprint arXiv:2203.15591}, year={2022} } @article{wang2024audiobench, title={AudioBench: A Universal Benchmark for Audio Large Language Models}, author={Wang, Bin and Zou, Xunlong and Lin, Geyu and Sun, Shuo and Liu, Zhuohan and Zhang, Wenyu and Liu, Zhengyuan and Aw, AiTi… See the full description on the dataset page: https://huggingface.co/datasets/AudioLLMs/earnings22_test.