Earnings22 Cleaned AA Quick links: AA Speech to Text Leaderboard AA WER v2.0 article Earnings22 Cleaned AA is a cleaned subset of the English Earnings 22 test data from esb/datasets, a corpus of corporate earnings calls from global companies with speakers of many different nationalities and accents. This cleaned subset is the Earnings 22 portion included in AA WER v2. We manually reviewed and corrected errors in the original ground truth transcriptions to ensure fairer evaluation of Speech to Text (STT) models. This dataset is part of AA WER v2.0, the Speech to Text accuracy benchmark by Artificial Analysis, where it carries a 25% weighting alongside AA AgentTalk (50%) and VoxPopuli Cleaned AA (25%). Dataset Summary Property Value Source Subset of Earnings 22 (ESB) English test split Domain Corporate earnings calls Number of samples 6 Sample duration range ~14–22 minutes Total duration ~115 minutes Language English Motivation for Correction Reference transcripts in the original Earnings22 test set contained inaccuracies — instances where the ground truth didn't match what was actually spoken. Inaccurate ground truth penalizes models that correctly transcribe the audio, inflating WE…
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