Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make

@inproceedings{Moore2019SayWA,
  title={Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make},
  author={Meredith Moore and Michael Stephen Saxon and Hemanth Venkateswara and Visar Berisha and Sethuraman Panchanathan},
  booktitle={INTERSPEECH},
  year={2019}
}
We present a new metadataset which provides insight into where and how two ASR systems make errors on several different speech datasets. By making this data readily available to researchers, we hope to stimulate research in the area of WER estimation models, in order to gain a deeper understanding of how intelligibility is encoded in speech. Using this dataset, we attempt to estimate intelligibility using a state-of-the-art model for speech quality estimation and found that this model did not… Expand
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