Contextual Earnings-22 is a new benchmark dataset showing that scaled keyword prompting and boosting both deliver significantly better accuracy on custom vocabularies than standard academic tests.
Improving contextual recognition of rare words with an alternate spelling prediction model
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Contextual Earnings-22: A Speech Recognition Benchmark with Custom Vocabulary in the Wild
Contextual Earnings-22 is a new benchmark dataset showing that scaled keyword prompting and boosting both deliver significantly better accuracy on custom vocabularies than standard academic tests.