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Earnings-22: Adding Arxiv LInk and Citation (#20)
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earnings22/README.md

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@@ -60,7 +60,15 @@ All of our analysis on this dataset is done through the use of our newly release
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# Cite this Dataset
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This dataset has been submitted to Interspeech 2022.
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The paper describing our methods and results can be found on arXiv at <ARXIV LINK>
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```
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ARXIV PATH
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The paper describing our methods and results can be found on arXiv at https://arxiv.org/abs/2203.15591.
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```
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@misc{https://doi.org/10.48550/arxiv.2203.15591,
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doi = {10.48550/ARXIV.2203.15591},
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url = {https://arxiv.org/abs/2203.15591},
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author = {Del Rio, Miguel and Ha, Peter and McNamara, Quinten and Miller, Corey and Chandra, Shipra},
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keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
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title = {Earnings-22: A Practical Benchmark for Accents in the Wild},
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publisher = {arXiv},
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year = {2022},
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copyright = {Creative Commons Attribution Share Alike 4.0 International}
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}

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