license:apache-2.0 region:us
\nThe Earnings 22 dataset ( also referred to as earnings22 ) is a 119-hour corpus of English-language earnings calls collected from global companies. 
The primary purpose is to serve as a benchmark for industrial and academic automatic speech recognition (ASR) models on real-world accented speech.
\n@misc{https://doi.org/10.48550/arxiv.2203.15591,
  doi = {10.48550/ARXIV.2203.15591},
  url = {https://arxiv.org/abs/2203.15591},
  author = {Del Rio, Miguel and Ha, Peter and McNamara, Quinten and Miller, Corey and Chandra, Shipra},
  keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Earnings-22: A Practical Benchmark for Accents in the Wild},
  publisher = {arXiv},
  year = {2022},
  copyright = {Creative Commons Attribution Share Alike 4.0 International}
}
---
license: apache-2.0
---
